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1. 44 MN MEL E MN EE 47 p 48 M 51 EE 54 SiO Senones aub a fg 64 A 65 O A 66 po 67 S 68 wa 68 A O O d onam DA D end 69 cece tennant eaten 70 1 INTRODUCTION Information is everywhere Finding information is difficult day by day due to the explosion of content that has gathered from different computer networking and data bases Broadly distributed information makes it harder to issue a single request and get optimal result Even in traditional applications were several and lot of database to be searched So when a user has a request it must select which databases are more relevant issue a query to any of those database and at the end review all of the appear result and find the top matching document as a request The same similar problem arises in the case of sensor networks Some sensor networks were interested to make some of collected data publicity available on World Wide Web So in this case even large general search engines fails to analysis the growing content Thus there is n
2. 61 l age VIEW Der WSET su 61 Search WISIE ce P 61 Uode ii 62 What is the AHP and how did we apply AHP to our model 63 AHP steps f r applying te ancien aiu Dir e 64 ois a AE cupa lu 71 IV CONCE SION PUTET 75 Y USER MANTAL 77 started 77 ia 78 DOMO 78 Y 79 79 aos 80 EE 80 Web reputation based Tank cin 83 REFERENCE Sisa 84 4 x LIST OF TABLES Table Page A EE ri A E E ere T ne ee 36 DAA te p LC M t ed 37 EE EE A M 56 BORNE a a A a 57 ES 57 Bd nud Mu EG MEL LE 58 A ERN EE EE eto 59 OI A E Lo EM 59 P A EA 59 60 60 P 61 61 LIST OF FIGURES Figure Page Da 20 OD TTE OUT EE S 29 t Y 39 RA
3. eese tentent tn tnntnnnen FRE POUCA OD D Four dimensions to dependability a ia o A Breadth of contributions camer dtc ble A Reputation system is Very where cin ie Reputation system affects our MA Who s Using this system adas d testet terat Papia tia Ronde ciu c Why we should use reputation system ecccccnacinnonocenenenac rear Why we need to design web reputation system sssseeeeee II IMPLEMENTA ON oia MAA QUE rato Retrieve DT aa Class parana 9 TASS 2 E Class Val OD iaa Class Cg Class Functions Sereen lom rank M lias 38 39 39 A AAA A 57 cornet danse 58 pi ad AS 58 E 59 ee du buius 59 Twitter Mention S ri a n daaar iaaa 60 Alexa AC ll NT 60 Yahoo back ani 60
4. Table 3 7 Pa e59 uj y x So we classified Facebook mention base on the table shown below X BAD NORMAL VERY GOOD PERFECT FACEBOOK X 1000 X gt 1000 amp X 10000 X gt 10000 X gt 100000 X gt 1000000 mention lt 100000 lt 1000000 mui m e Yahoo back link function Yahoo counts inbound links differently from every other search engine out there and we classified base on this X NORMAL VERY GOOD PERFECT YAHOO BACKLINK X 1000 gt 1000 amp X lt 10000 gt 10000 amp X 100000 X gt 100000 amp X lt 1000000 X gt 1000000 Table 3 8 e Bounce rate function Ifyou experience high bounce rates over 70 then it might be that your website stinks to put it bluntly and you need to redesign it or do a better job communicating through your entry pages To sum up the bounce rate is affected by many things and there is no blanket answer that can be applied to all website to say When your bounce rate is high you should Each website is different each situation is different and analyzing bounce rate data requires a hands on approach just one more reason why SEO can never be fully automated theorganicseo com So we classified the bounce rate base on the following table X BAD NORMAL cjo o PERFECT Table 3 9 E SS A pee e60 views per visit are an excellent indicator of how compelling and easily navigate
5. relevant to your business and industry If you sell animals toys but you are linking to a site that sells shoes that is not very relevant Page Z 5 11 12 13 14 over time could really impact your rankings Bottom line is if it makes sense to link to another site then do so but remember you could be sending your visitors away from your site Inbound Links The key here don t buy or exchange links Market and promote your business online to build visitors to your website over time If you do then the relevant links will follow Page views One of the most fundamental starting points for measuring the performance of your content is looking at how many views or hits it receives The pages that are viewed or landed on most often on your Website can give you clues into what people are searching for and what information they find valuable On the other hand tracking views can also tell you what pages are under performing Comments feedback Comments are a great way to track response to your content and they offer you insight into what your community is interested in learning more about what questions they have and where they believe you as an organization can and do fill in the knowledge gaps If you find that a specific topic you ve blogged about gets a significant number of questions in the comments those questions can directly impact future content you produce surrounding that topic and tell you
6. Anyone can view the web reputation based selection website by accessing www ritrovatore com but to complete drop down list and contribute to our progress first you should read the report to understand each domain and sub domains to get a related query to see your desire result c e De Sp o DM mom Sp tee Ti 7 BB 2 _____ Rirovatore 2011 eee c Pa ET Fiaure 5 1 npe pe mui Browsing information The web reputation website information on the site in organized into 3 main drop down list menu that each of them is dependant to the others 1 Domains The first drop down list that browsing10 main domain which we are explained before and all of our queries are based on this 10 main domain gt Lil e iig e _ o RErcvatore C 2011 o aoc em cm Fiaure 5 2 uj 4 You can read all the web reputation material on the site without having to log in but to use the result of query you should wait around 1 minute already chose out gt D 22 5 ___ e te do Dom Ritrowatore E 2011 Fiaure 5 3 3 Cities After selecting the sub domains the third combo box shows the related city based on 2 previous selected options By clicking on the last combo box we should wait around 1
7. IMPLEMENTATION OF REPUTATION BASED SELECTION OF WEB INFORMATION SOURCES By MOHSEN SOJOUDI 751336 HAMIDREZA SAEEDI 750835 Supervisor Prof Cinzia Cappiello Master of Science in Management Economics and Industrial Engineering POLO REGIONALE DI COMO Academic Year 2010 2011 IMPLEMENTATION OF REPUTATION BASED SELECTION OF WEB INFORMATION SOURCES By MOHSEN SOJOUDI 751336 HAMIDREZA SAEEDI 750835 Supervisor Prof Cinzia Cappiello Master of Science in Management Economics and Industrial Engineering POLO REGIONALE DI COMO Academic Year 2010 2011 ABSTRACT The thesis introduces the reputation based ranking of Web information sources and compares it with the Google s ranking Moreover it determines the relevance of the reputation metrics with respect to the Google s ranking algorithm In the work we focused on the blogs and forums since they allow users to share their opinions and insert their comments about the topics and assessing reputation for them is a crucial element The data quality literature defines reputation as a dimension of information quality that measures the trustworthiness and importance of an information source Reputation is recognized as a multidimensional quality attribute The variables that affect the overall reputation of an information source are related to the institutional clout of the source to the relevance of the source in a given context and
8. when exactly the same problem data are used with different MCDA MCDM methods such methods may recommend different solutions even for very simple problems 1 ones with very few alternatives and criteria wikipedia org The choice of which model is most appropriate depends on the problem at hand and may be to some extent dependent on which model the decision maker is most comfortable with We choose AHP Analytic hierarchy process to make decision for our final re ranking What is the AHP and how did we apply AHP to our model The Analytic Hierarchy Process AHP is a structured technique for dealing with complex decisions Rather than prescribing a correct decision the AHP helps decision makers find one that best suits their goal and their understanding of the problem it is a process of organizing decisions that people are already dealing with but trying to do in their heads wikipedia org Page 3 m p pue pe Our AHP steps of applying 1 We model our metrics in a structured tree hierarchy and define the alternatives for reaching our model s goal We had four main domain criteria and we locate our predefined metrics under the related domain and reach to 13 sub domain criteria Pa e64 Figure 3 6 h mi 2 We comparing the importance of each metric to give the priorities among the parent element of our hierarchy based on our goal We gave our priorities mostly base on
9. 4 Liveliness responsiveness to new issues or events You can measure the liveliness of your website in several ways such as a Number of daily page views per daily visitor Page view user The page views per user numbers are the average numbers of unique pages viewed per user per day by the users visiting the site From the above four variables Traffic Breadth of contributions Relevance and Liveliness and the data quality dimensions we have identified the reputation metrics that should be measured to assess the reputation of a Web information source Table 2 1 summarizes the reputation metrics that were identified for the variables above table columns along the different data quality dimensions table rows As a general observation the choice of metrics has been driven by feasibility considerations In particular only quantitative and measurable metrics were defined The data source on which metrics are computed is reported in parentheses Crawling means either manual inspection or automated crawling depending on the site Some metrics are also derived from data published by Alexa www alexa com a well known service publishing traffic metrics for a number of Internet sites It is worth noting that not all data quality dimensions apply to all variables not applicable N A in Table 2 1 Paged 6 A AAA Accuracy Compieteness Time Interpretability Authority Dependability traffic rank www alexa co
10. Seconds So we classified the time on site base on the table shown below X BAD NORMAL PERFECT TIME ON SITE MIN X lt 0 55 X gt 0 55 amp X lt 1 55 gt 1 55 amp X lt 3 Table 3 3 57 uj 4 x e Global country rank function We cannot standardize this metric because each country has different users do not return to sites that take longer than four seconds to load They would suggest keeping your load time below 2 seconds The Alexa website for this function has great information that contains all the user need That s why we don t classify the result and only we show the final return variable It s comparing the average load time to the other internet website and release the of how many websites have more or less average load time than this site e Page speed score function Google Page Speed analysis using a Firefox browser measures how optimized the web page is in terms of loading time and provides a quantitative measurement that is known as a Page Speed score This is a rating on a scale from 1 to 100 If a website scores 100 it means it is perfectly optimized for fast website loading So we classified page speed score base on the table shown below X BAD NORMAL cjoJe VERY GOOD PERFECT PAGE SPEED SCORE X gt 40 amp X lt 60 X gt 60 8 lt 80 X gt 80 8 lt 90 Table 3 4 e Facebook mentions function Facebook mention is the total amount of Faceb
11. an identified source of correct information such as reference data There are different sources of correct information a database of record a similar corroborative set of data values from another table dynamically computed values or perhaps the result of a manual process Completeness of data is the extent to which the expected attributes of data are provided Data completeness refers to an indication of whether or not all the data necessary to meet the current and future business information demand are available in the data resource Data Completeness is the expected completeness It is possible that data is not available but it is still considered completed as it meets the expectations of the user Every data requirement has mandatory and optional aspects For example customer s mailing address is mandatory and it is available and because customer s office address is optional it is OK if it is not available Timeliness refers to the time expectation for accessibility and availability of information It can be measured as the time between when information is expected and when it is readily available for use Timeliness is affected by three factors How fast the information system state is updated after the real world system changes system currency the rate of change of the real world system volatility and the time the data is actually used While the first aspect is affected by the design of the information system the second
12. and third are not subject to any design decision puc 8 A graphical concept of reputation The phrase reputation system describes a wide array of practices technologies and use interface elements You ll notice that reputation system compute many different reputation values that turn out to possess a single common element the reputation statement In practice most input to a reputation model is either already in the form of reputation statements or quickly transformed into them for easy processing The reputation statement is like an atom in that it too has constituent particles a source a claim and a target figure The exact characteristics type and value of each particle determine what type of element it its and its use in your application A a source makes adaim about target Rates 2 4 of 5 stars Figure 2 2 page 9 There are four dimensions to dependability 1 Availability the availability of a system is the probability that it will be up and running and able to deliver useful services at any given time 2 Reliability the reliability of a system is the probability over a given period of time that the system will correctly deliver services as expected by the user 3 Safety 4 Security the security of a system is a judgment of how likely it is that the system can resist accidental or deliberate intrusion Consistency of Data means that data across the e
13. how the identification of relevant information on a specific issue through Web browsing requires several iterations and interesting sources may surface as a result of relatively long search processes In Jiang et al 2008 empirical evidence reveals that there is a quite large probability about 63 of a relevant document being found within a 1 120 rank range but also that in more than 65 of the cases not even the top 300 ranked documents are expected to satisfy the user request Also in Jiang et al 2008 the rank range of documents users view in the result list for a single query has been widely studied showing that users tend to look only at the first ten results and most of the users percentages close to 80 tend to not look deeper than two result pages The approach tries to overcome the previous problem by proposing the adoption of typical data quality dimensions to assess the reputation of information sources this in turn allows ensuring a major quality of the retrieved information The operationalization of reputation draws from the data quality literature In data quality literature Accuracy Completeness and Time represent the fundamental data quality dimensions in most contexts Interpretability Authority and Dependability are suggested as additional dimensions that should be considered The four aspects that should be evaluated to assess the reputation of blogs and forums two important forms of Web resources providing la
14. in the graph on the right search visit Consistancy Ratio 0 30 3 dally visituser A NN 597 Importance absolutely moderately equal moderately absolutely less less tor e more mor 58 18 TA 2 9 T8 Criteria Value Criteria search visit 23 daily visitluser Figure 3 10 4 Then we check the consistency of the judgments in our project Figure the weight of each sub domain Figure 3 11 e68 nn Figure calculating the weight of each sub domain country rank average load time daily page view global traffic rank page speed score time on site mention facebook mention twitter inbound link yahoo inbound link google bounce rate search visit daily view per user Figure 3 12 6 996462 6 282067 9 44845 11 725296 6 466427 5 171298 6 052 9 078 11 60461 6 562284 5 253106 4 608 10 752 e69 mui m pp pe 5 Make the final decision ANALYTIC HIERARCHY PROCESS Figure 3 13 e70 h ui m AHP variable 1 2 Global traffic rank We consider this variable as a negative factor because when the global rank is higher it shows the site value is less site S x GLOBAL TRAFFIC RANK VALUE float site x GLOBAL TRAFFIC RANK 11 725296 Country traffic rank We consider this variable as a negative fa
15. indexing on all linked Web sites as well The crawler returns all that information back to a central depository where the data is indexed The crawler will periodically return to the sites to check for any information that has changed The frequency with which this happens is determined by the administrators of the search engine Human powered search engines rely on humans to submit information that is subsequently indexed and catalogued Only information that is submitted is put into the index In both cases when you query a search engine to locate information you re actually searching through the index that the search engine has created you are not actually searching the Web These indices are giant databases of information that is collected and stored and subsequently searched This explains why sometimes a search on a commercial search engine such as Yahoo Or Google will return results that are in fact dead links Since the search results are based on the index if the index hasn t been updated since a Web page became invalid the search engine treats the page as still an active link even though it no longer is It will remain that way until the index is updated The classic document ranking technique involved viewing the text on a website and determining its value to a search query by using a set of so called on page parameters A simple text only information retrieval system produces poor search results In the past several
16. look at the different calculated value base on their metric and our final re rank order mecs OO SI cil cil cec Jte Oses m tg Dm Ts Ti m Do Dte m Do 2 e Due Pb ee gt 9 e eee aa e OF WES MFORMATON SOURCES A c 5 10 e83 nn x 4 mui nn 1 Jiang S Zilles S Holte 2008 Empirical Analysis of the Rank Distribution of Relevant Documents in Web Search 2 Donato Barbagallo Cinzia Cappiello Chiara Francalanci Maristella Matera Reputation Based Self Service Environments 3 Donato Barbagallo Cinzia Cappiello Chiara Francalanci Maristella Matera Semantic sentiment analyses based on the reputation of Web information sources 4 Chen Zhang Y Zheng Z Zha H Sun G 2008 Adapting ranking functions to user preference Data Engineering Workshop ICDEW 5 Gupta S Jindal A 2008 Contrast of link based web ranking techniques 6 Danette McGilvray Ten Steps to Quality Data and Trusted Information published by Morgan Kaufmann Publishers 2008 7 Alan R Tupek Chair 2006 Definition of Data Quality 8 Sean A Golliher 2008 Search Engine Ranking Variables and Algorithms 9 Webopedia com 10 Searchenginewatch com 11 www a
17. min to servers bring up the whole information about our queries Pa e79 4 x 2 Sub domains After selecting one of these domains the next combo box will change automatically and brings the sub domains related to the first domain that mui ss Q 7m 2 Dm ren TM Ell 2011 ewe Fiaure 5 4 Query s result The next step is to understanding what the query result that will be shown on the screen of the user is We classified the result into 2 main parts 1 Google rank e The top list is the first eight result of the Google based on the selected queries AA A _ t oe Da Dms jma iy Jj Jma Dm Dn eA Bae P Ritrovatore 2011 en gt sm gt AL ss c Pa 80 the website will appears Zem Sin pends ies pp Campa pa WS Rie Bassi Rerovatore 2011 Ds m 0 gt SS ee ee 00 ee es we a E At the beginning of each line there is a and button that by clicking over these button you can expand or collapse the information related to that specified URL bg omo e DS Dm a QUE C CR DUNS AE O Dm Ritrovatore 2011 JME
18. the Web Nowadays companies find the Web as an important resource for checking customers appreciation for their products services and even to understand their brands reputation since it is well known that online reviews can have a negative impact on sales and Weblog mentions are highly correlated with sales Search engines are the key to finding specific information on the vast expanse of the World Wide Web Without sophisticated search engines it would be virtually impossible to locate anything on the Web without knowing a specific URL When people use the term search engine A program that searches documents for specified keywords and returns a list of the documents where the keywords were found in relation to the Web they are usually referring to the actual search forms that searches through databases of HTML documents initially gathered by a robot A program that runs automatically without human intervention paso 5 There basically three types of search engines Those that are powered by robots Called crawlers ants or spiders and those that are powered by human submissions and those that are a hybrid of the two Crawler based search engines are those that use automated software agents called Crawlers that visit a Web site read the information on the actual site read the site s Meta tags A special HTML tag that provides information about a Web page and also follow the links that the site connects to performing
19. the number of sub domain For example as we had sub domains in traffic part we gave higher priorities to traffic rather than others Line by line Method Results Enter the weights for each comparison in the boxes below Acceptable values range from 9 criterion on the left is absolutely less important than criterion on the right to 9 criterion on the leftis absolutely more important than criterion on the right After entering values for each comparison click Calculate The results will appear in the graph on the right vs ANN Contributions i Relevance MY Liveliness MN Consistancy Ratio 0 Importance absolutely moderately equal moderately absolutely less Criteria A ss x less Traffic Traffic Traffic Contributions Contributions Relevance 1 or 1 Value more more 4 6 8 7 6 4 32 4 23 3 18 Criteria Contributions Relevance Liveliness Relevance Liveliness Liveliness Figure 3 7 Pa e65 nn x x 3 The same as step above We gave priorities to each sub domain according to its importance role in our final decision Line by line Method Results Enter the weights for each comparison in the boxes below Acceptable values range from 9 country rank criterion on the leftis absolutely less important than criterion on the right to 9 criterion on the av
20. to the general quality of the source s information content A set of metrics measuring the reputation of Web information sources has been defined These metrics have been empirically assessed for the top 15 sources identified by Google as a response to ten queries in the tourism domain especially in New York and London Then we have compared Google s ranking with the reputation based ranking for all the ten queries using different kinds of analysis Results show that there is a difference distance between the Google s ranking and the ranking that is based on the reputation metrics Moreover the reputation metrics have different relevance to Google ranking algorithm since each ranking that is based along each of the reputation metrics has different distance values when comparing them with the Google s ranking At the next step the whole process is implemented as a web service Our main focus We have finally published our project over internet where you can access it on the x is in the areas of application implementation and enhancement process optimization interfaces and project management following URL www ritrovatore com ACKNOWLEDGMENTS This thesis arose in part out of years of research that has been done since we came to Politecnico di Milano By that time we have worked with a great number of people whose contribution in assorted ways to the research and the making of the thesis deserved special mention Itis a pleasure
21. user enters to the site he she just view the first page and not interested in going deeper in that site Ssite x BOUNCE RATE VALUE float site x BOUNCE RATE 5 253106 f 12 Page view per user We consider this variable as a positive factor because when the page view per user is high its shows this site is more interesting and valuable for users Ssite x PAGE VIEW PER USER VALUE float site x PAGE VIEW PER USER 10 732 F 13 Search visit We consider this variable as a positive factor because when the search visit is high its shows mostly user find us in search engines Ssite x SEARCH VISIT VALUE float site x SEARCH VISIT 4 608 14 AHP value We sum up the entire above variable according to their factor and we re rank our top 10 based on this value Ssite x VALUE round site x DAILY VISIT VALUE Ssite x GLOBAL TRAFFIC RANK VALUE Ssite x COUNTRY TRAFFIC RANK VALUE Ssite x ON SITE VALUE site x AVERAGE LOAD TIME VALUE Ssite x PAGE SPEED SCORE VALUE S site x FACEBOOK MENTION VALUE Ssite x MENTION VALUE Ssite x ALEXA BACKLINK VALUE Ssite x BACKLINK VALUE Ssite x BOUNCE RATE VALUE Ssite x PAGE VIEW PER USER VALUE Ssite x SEARCH VISIT VALUE 1 3 m pum qp qe AHP functions We re ranking the Google top 10 result base
22. will get twice the increase in Page Rank from the page with only 5 outgoing links Hyperlink Induced Topic Search HITS also known as Hubs and authorities is a link analysis algorithm that rates Web pages developed by Jon Kleinberg It determines two values for a page its authority which estimates the value of the content of the page and its hub value which estimates the value of its links to other pages PRZ 3 The most important Google ranking factors Age of Domain Age of URL is very important If you just bought your domain a few weeks or even months ago you have a long road ahead of you The reality is the age of your website helps build trust Domain Hosting Where is your site hosted Find out through your hosting company what continent or country your site is hosted in This can often times play a large role in search rankings Always use a reputable hosting company Never use the cheapest hosting The reality is if you cannot afford hosting you should re consider the business Your Neighbors Make sure that your neighbors on your server are not classified as spam URL Structure Make sure your URL structures are very clean There should not be any random strings of characters at the end of your URL s Content Content is very important To start make sure you have text on all your important pages then make sure it is good text consisting of your targeted keywords spread throughout natur
23. 6 of a relevant document being found within a 1 120 rank range In addition to that the study found that the most relevant document in 2 substantially more than 65 of the cases not even the top 300 ranked documents are expected to suffice Also in Jiang et al 2008 the rank range of documents users view the result list for a single query has been widely studied showing that users tend to look only at the first ten results and most of the users percentages close to 80 tend to not look deeper than two result pages The ranking algorithms used by search engines are authority based 1 they tie a site s ranking to the number of incoming Web links This thesis explores the possibility of adjusting the ranking provided by search engines by assessing the reputation of Web information sources and by using the reputation metrics as a basis of the ranking thus improving the ranking process since users can find the relevant web information sources they are seeking for in less time because they will be ranked in the first positions in the retrieved list according to the required query inserted in the search engine and these reputation metrics take in to account the effective interaction between the users and the web information sources Reputation is the opinion more technically a social evaluation of the group of entities toward a person a group of people or an organization on a certain criterion It is an important fact
24. Content freshness When was content last updated Has it changed since the last time it was crawled 16 Spelling and grammar A one dimensional search algorithm might calculate the density of a keyword on a page and use that keyword density as a measure of relevance This type of search can quickly lead to text manipulation if the web authors are aware that they need page T 8 simply to change the keyword density of their web document to indicate to a search engine what their document is about Using only the on page factors webspam will be difficult to stop because the website optimizer can still control the parameters the search algorithm is using to determine ranking To this extent off page factors were introduced These factors are difficult for the webpage optimizer to control Off page metrics are more desirable in any ranking algorithm because they allow the search algorithm to determine which pages appear in search queries rather than by webpage optimizers manipulating WebPages The following represent the potential off page factors 1 Number of websites linking back to a website 2 The page rank of a website 3 The number and quality of directories a page is listed in For example DMOZ or Yahoo 4 How long a URL has been registered 5 When a registered domain name will expire 6 When the search engine spider last crawled the URL 7 How many pages of the website were crawled crawl depth 8 How fas
25. TLOTATON BASED SELECTION OF ES OMA DOS SOURCE Sj Pa e81 uj y At the end of each line there is a blue button called VIEW that by clicking over on it we will browsed to that website and also if you move over this button the snap shot of mui m For easier surfing of the page we placed 2 button on the of each list name as all and collapse all that by clicking over those button the whole list will be expanded collapsed Doe Om D Dome Do Co Da Do Co ee DE BE Do itrovatore 2 2011 gt Dese s _ A e Some of the metric according to their provider will give you the blue link at the end of each line name as VIEW GRAPH If you click over this button you will see the daily graph related to that metric ee z 2 gt CoD me jme Dm Dn Dm m BA gt e wma Scone e e82 Figure 5 9 E o 2 Web reputation based rank The second list in the middle of the page is re ranked order of eight first result of the Google based on our web reputation system All of the ability that discuss above are executive for this list as well You can easily browsing information and
26. ally Simply put ALWAYS write your content for humans your website visitors first and NEVER write content for the solo purpose to achieve Google search engine rankings Page 4 10 Internal Link Structure Make sure your inner pages are linked correctly Visitors should have easy made pathways connecting to your other pages from every page of your website Essentially make sure the site is clean easy to use and interlinked to help the user experience Trust Do you at least have a mailing address listed on your website You should if you don t Google likes to see trust factors on websites so anything you can add that could help build trust for your audience will benefit your rankings Make it easy for people to do business with you it all starts with establishing trust and that starts with contact information on your website Keywords Make sure your website is optimized using your keywords Remember to naturally optimize your website based on the content of each page of your website Bounce Rate Although bounce rate might not seem important if Google sees that nobody hangs out on your website for more than a few seconds before they leave this could be a ranking problem over time Make changes to get visitors engaged with your website Simple things like video newsletter sign up call to actions etc will help improve your bounce rate over time Outbound links Make sure the websites that you link to are 100
27. an HTML document one can derive a list of potential on page variables for ranking web documents For example in the early 19906 a search engine called Veronica used the index results from a program called Gopher to look at webpage titles and URLs to determine the topic and relevance of a webpage Because the document s author can easily manipulate the title of a web document and it s URL a good ranking algorithm would require either more variables or rely on factors a webpage author cannot control directly Using more variables in a Pagel 7 ranking algorithm naturally makes the manipulation of its search results more difficult The following represents the potential on page factors 1 Description Meta tag A special HTML tag that provides information about a Web page 2 A website s URL 3 The title of a website 4 Keyword Meta tags 5 Density of a given keyword on a document 6 Proximity of keywords defines how close keywords are in relation to each other 7 Prominence of keywords defines where the keywords are on the HTML page For example a keyword with high prominence would be at the top of an HTML document 8 Keywords using HTML bold and or italics 9 Overall size of a page 10 Total number of pages within the website 11 Number of outbound links 12 Use of quotes text keywords 13 Using underscores on text keywords 14 The uniqueness of the content on your page relative to the other content on the web 15
28. ases not even the top 300 ranked documents are expected to suffice Jiang et al 2008 By adopting the proposed approach it will allow users to find the information that they are seeking for in less time since the most relevant websites will be ranked in the first positions because the reputation based ranking will take in to consideration the effective interaction between the users and the Web information sources The selection of sources providing dependable information has been scarcely based on the definition of methods for assessing Data Quality DQ Data are of high quality if they are fit for their intended uses in operations decision making and planning Alternatively the data are deemed of high quality if they correctly represent the real world construct to which they refer Furthermore apart from these definitions as 257 Z data volume increases the question of internal consistency within data becomes paramount regardless of fitness for use for any external purpose In the DQ field the concept of reputation is the result of the assessment of several properties of information sources including correctness completeness timeliness dependability and consistency Reputation is recognized as a multidimensional quality attribute Data accuracy refers to the degree with which data correctly represents the real life objects they are intended to model In many cases accuracy is measured by how the values agree with
29. ate may either Page 4 refer to the number or proportion of visitors who visited your site and left without doing anything What is your website about Maybe you can do a little improvement so it can stir the interest of your visitors b Time on site Time on site is the length of visit on your website A high time on site may indicate your visitors may be interacting extensively with your site However high time on site can be misleading Your visitors may have a hard time looking for what they want your visitor s leaves their browser windows open when they are not actually viewing or using your website c Search visit keyword Identifying these keywords in your research and targeting them on your landing pages will help you cherry pick the best traffic from the search engines traffic that converts well d Yahoo inbound link Back links are incoming links to a website or web page Inbound links were originally important prior to the emergence of search engines as a primary means ofweb navigation today their significance lies in search engine optimization SEO The number of back links is one indication of the popularity or importance of that website or page for example this is used by Google to determine the Page Rank of a webpage Outside of SEO the back links of a webpage may be of significant personal cultural or semantic interest they indicate who is paying attention to that page alexa com Page 3 5
30. ctor because when the global rank is higher it shows the site value is less site S x COUNTRY TRAFFIC RANK VALUE float site x COUNTRY TRAFFIC RANK2 6 996462 Daily visit We consider this variable as a positive factor because when the daily visit is higher it shows the site value is more interesting for the users Ssite x DAILY VISIT VALUE float site x DAILY VISIT2 9 44845 Time on site We consider this variable as a positive factor because when the time on site is higher it shows the user is more comfortable and interest to spend time on that site site x TIME ON SITE VALUE float site x TIME ON SITE S5 1 T1298 7 5 Average load time zi We consider this variable as a negative factor because when the average load time is higher it shows that the site need much more time to be loaded and it decrease the interest of the user to visit this site next time site S x AVERAGE LOAD TIME VALUE float site x AVERAGE LOAD TIME2 U 6 282067 h mi m y 6 7 8 9 Alexa inbound links 10 Yahoo inbounds links speed score We consider this variable as a positive factor this number is measured by Google and its range is between 0 100 site x PAGE SPEED SCORE VALUE float site x PAGE SPEED SCORE 6 466427 Facebook mentions we consider this variable as a positive factor because when t
31. d your content is We calculate it by the total number of page views divided by the total number of visits during the same timeframe Page Views Visits Average Page Views per Visit Then we classified the result base on the table shown below X NORMAL PERFECT PAGE VIEW PER USER gt 2 amp X lt 3 gt 2 amp lt 3 gt 3 amp lt 5 Table 3 10 e Search visit function This function calculate the number of visitor from different search engine find us and move over our website There isn t any good range for classification of these data but according to the research s we figure out that we can classify results by the number of visit per day So we use this indicator as a key point for defining the following table X NORMAL PERFECT amp X8 18 8 30 02308 X lt 50 mj y e Page view per user function The number of page views per user is a key indicator of the quality depth and breadth of content on a given website Alexa com Average page Table 3 11 61 Re ranking part Introduction In this part of our project our main goal was re ranking the Google result base on our metrics For re ranking there are several methods called MCDA Multi criteria decision analysis There are many MCDA MCDM methods in use today However often different methods may yield different results for exactly the same problem In other words
32. e page will handle page errors by attempting to reload the module or report that the module is unavailable If an invalid query is entered the customer will be redirect to the main page and all the value will be rest h gt Reference index php A A EEE eee e m Lh mc c A ET naa cra 24502 X 0 220t 9 mpra E ____ rd EM una n m pns e PEN FEUD Figure 3 1 Pa 44 Query part Introduction The query part will be the main part of for users to browse available domains and sub domain for viewing the result of chose query Details The page will query the database of Google s and extract the chose domain information They chose domain information will then be store based on the domain and sub domain in predefined array This part will have a form box and 3 different combo boxes on the top middle of main page that will contain the main domain listing The user can click on a domain to bring up the list of domains that are available If the domain contains sub domain these will be displayed in the middle of the page and the user can proceed to drill down on the domains An option to show all domains will disregard the domains and sub domains listings When a user chooses to select an item for query the item ID will be passed to the query function module to retrieve the information and saved in arra
33. epends on what the spiders find or what the humans submitted But more important not every search engine uses the same algorithm to search through the indices The algorithm is what the search engines use to determine the relevance of the information in the index to what the user is searching for Also some search engines index more web pages than others Some search engines also index web pages more often than others The result is that no search engine has the exact same collection of web pages to search through That naturally produces differences when comparing their results Search engines may also penalize pages or exclude them from the index if they detect search engine spamming An example is when a word is repeated hundreds of times on a page to increase the frequency and propel the page higher in the listings Search engines watch for common spamming methods in a variety of ways including following up on complaints from their users One of the main rules in a ranking algorithm used by search engines involves the location and frequency of keywords on a web page Call it the location frequency method for short Pages with the search terms appearing in the HTML title tag are often assumed to be more relevant than others to the topic Search engines will also check to see if the search keywords appear near the top of a web page such as in the headline or in the first few paragraphs of text They assume that any page relevant t
34. erage load time left is absolutely more important than criterion on the right After entering values for each daily page view MY comparison click Calculate The results will appearin the graph on the right global traffic ran 08 page speed score time on site PY Consistancy Ratio 0 009 Importance absolutely moderately equal moderately absolutely less less tort more more 28 724 2 4 8 Criteria Value Criteria country rank 12 average load time country rank daily page view country rank global traffic rank country rank page speed score country rank time on site average load time daily page view average load time global traffic rank average load time page speed score average load time time on site daily page view global traffic rank daily page view page speed score daily page view 1 time on site global traffic rank page speed score global traffic rank time on site page speed score time on site No Figure 3 8 amp nn x Line by line Method Results Enter the weights for each comparison in the boxes below Acceptable values range from 9 facebook mentions criterion on the left is absolutely less important than criterion on the right to 9 criterion on the twitter mentions leftis absolutely more important than criteri
35. ew trend toward specialized searched engines that they must find new solution to solve this mass problem Also in addition beyond the issue of scalability a lot of website provides dynamic content that at that time those web crawler of search engine cannot access those information by hyperlink For example consider a keyword search page that provide a specific result for user as all of us know the web crawler only consider the text on the search filed that a user defined but it has no hyperlink for this document to redirect user to this document So we reach to the non crawlable content that becomes part of what is commonly today known as HIDDEN WEB Similar arise in the sensor network At those day a lot of different approach were utilized on approach was to dispatch the query to each information source that is likely to have requested documents and merge the final result before displaying to the user and they call this approach as meta searching Another was search engines Basil 1 Search engine Web search has been an important tool in our life Today there are billions of web pages accessible on the Internet These web pages are highly diversified in terms of content format and quality It is the basic challenge for search engines to rank web pages for a given query to find the most relevant one from such a huge amount of diversified data Chen 2008 Web browsing most often starts from search engines and moves along a chain of link
36. exa will provide for some of the metric graph ability that by using this function we open popup windows to show the result in graph ways e Global rank function We classified global rank as below As much as it has smaller we more weight to the site X BAD NORMAL cjoJo gt 50000 8 lt 100000 gt 10000 amp X lt 50000 gt 500 8 X lt 10000 Table 3 1 LJ y Introduction The function s part is our project critical section because all of our calculation e56 mi population and size We show the website rank in most visited country e Daily visit function First we find the website daily reach value then after applying formula we will reach to the daily visit number Then we classified the daily visitor as below Daily visit number daily reach number of internet user 100 X NORMAL cjo 0 PERFECT X gt 0 0001 8 lt 0 001 gt 0 001 amp lt 0 01 X gt 0 01 amp X lt 0 1 X gt 0 1 amp X lt 1 Table 3 2 e Time on site function It all depends on the type of site and content you offer You probably figured out on your own if you host 20 minute shows that people like watching like an anime show the average time on site would most likely be 20 minutes But let s get out some hard facts from friends at SOURCE CBS Based on 120M 120 000 000 Impressions the Average time on the whole webpage is a whopping 33
37. ey reach the minor goals through the game and concurrently add this reward to community game score Table 1 2 shows that all of the top 25 websites on alexa com that use at least one reputation system as critical part of their business e38 h ui A ss iB Website Voteto Contentrat Content re Incentive Quality Competi Abuse promote ingand views and karma karma tive scoring ranking comments points karma yahoo tt ttt ttt t t tt ttt google tt ttt t t ttt youtube com ttt tt ttt t t tt live com tt ttt tt ttt t ttt facebook com ttt tt tt t t ttt msn com t ttt ttt t tt tt wikipedia org 1 t m blogger com 1 t tti t ttt baidu com t ttt t t ttt tt rapid 4 ttt tt share com microsoft com amp gt ttt hiS com t t t t t t tt Table 2 2 Why we should use reputation system Reputation reporting systems have emerged important risk management mechanism in electronic communities Reputation system collect distribute and aggregate feedback about the client past behavior The goal of reputation system is to encourage trust worthiness by using past behavior to predict the future behavior So by aggregating this mechanism low quality transaction will replace by high quality and it s improving the whole quality of the system Why we need to design web reputation system Search engine are general purpose and implement ranking algorithm but beside of its effectiveness and efficie
38. finally Number of comments to selected post The reputation based ranking of the information sources and the assessment of the quality of their information can improve the selection of information sources and can help Web users to select the most authoritative sources since it takes in to account the effective interaction between the users and the information sources in its ranking algorithm pipe 5 I This is especially relevant in the context of the market monitoring where Web users not only retrieve and access Web resources to get an idea about a key interest topic but also to take some kind of choice decision Our online reputation system should not be limited to what we do not want folk to see or say about us Let the understanding that you re in public guide your judgment about what to post on the web After independent analysis we are persuaded that it offers better protection and performance for search engines if they using web reputation for selecting of information sources m Using the web reputation based selection of information source website is simple The site is free and provides e Asummary of available metrics in web reputation system e Achecklist in each domain area which you can use to have different query based on your need e Aview of our new re rank Google order to better understanding of web reputation based selection of different information source Getting started
39. g 2010 03 10 key content performance metrics to track 43 code google com p gapi google analytics php interface 44 www javaneverdie com seo alexa com global page views number 45 merabheja com calculate adsense revenue with alexa rank
40. he site mentioned in Facebook or any social network has a direct effect on the increasing of the visitor in that website site x FACEBOOK MENTION VALUE float Ssite x FACEBOOK MENTION 6 052 Twitter mentions we consider this variable as a positive factor because when the site mentioned in Twitter or any social network has a direct effect on the increasing of the visitor in that website site x MENTION VALUE float site x TWITTER MENTION 9 078 We consider this variable as a positive factor because when the inbound links is higher it shows the site has more connection with other sites This is one of the newest factors in web reputation techniques that such a website like Alexa and yahoo try to provide this information for users Ssite x ALEXA BACKLINK VALUE float site x ALEXA BACKLINK 6 562284 We consider this variable as a positive factor because when the inbound links is higher it shows the site has more connection with other sites This is one of the newest factors in web reputation techniques that such a website like Alexa and yahoo try to provide this information for users 27 2 h mi nn site x YAHOO BACKLINK VALUE float site x YAHOO BACKLINK 11 60461 11 Bounce rate We consider this variable as a negative factor because when the bounce rate is higher it means that no one goes to that website regularly When the
41. in JavaScript s arrays base on number of mentioned queries Details The query handling part will need to provide certain information to the retrieve part in order to store data in suitable way We design a for loop to read from handling part one by one and store in first dimension of array base on their name and the detail of each query will be stored in second dimension of each array Error Handling Incomplete information will be dropped from the array Only information that is complete will allow being store in array The page should check the values be submitted and determine if the value is null Equality between the array key and the passed value will be check for preventing of function crash Pa e50 h m Retrieve function and array Reference index php ye A c am a dac c9 me tem Cae geufuage Ss __ AO emm 7 s 00 5 4 gt Figure 3 4 e51 mui Class s part Introduction The class s part is our most important part in the whole project We gathered a lot of information from different data source likes Alexa Facebook Twitter Google and yahoo for each different query Details We should define a class to store different API user account info to make them allow retrieving information For each different data source we make differe
42. information source and its roles in raking result Reputation system affects our lives We use reputation every day to make better decision about our daily normal or critical events Now a day reputation system can evaluate your performance and Liveliness average munber of new www nlexa com number of daily page views n a number of comments per user crowling opened discussions per day n a per daily visitor www alexa com average number of comments per discusston per day crawling A ss your creation This effect is also true for the groups that you are member of it like society work or others They all have aggregate point that reflects you as well as the others The group reputation systems are difficult most of the time and a hard to perceive and most of the time harder to change Who s using this system Some of the best known consumer websites are using the reputation system as structural mechanism for example a Amazon s product review the most well known example of object reputation for example the website asks Was this review helpful the reviewers program track those trusted review to provide context for potential buyer when it evaluate the potential of buyers b EBay s feedback score is based on the number of transaction that completed by the buyer or seller and it s aggregated from thousand of individual transaction c Xbox Live s achievement reward user when th
43. lexa com 12 www wikipedia com 13 www alvit de 14 www reference com 15 people revoledu com 16 www searchengineoptimizationjournal com 17 www executionmih com 18 www answers com 19 www gfkamerica com 20 www doshdosh com 21 www mediacollege com 22 www blogussion com 23 www webconfs com 24 www squidoo com 25 www thewindowsclub com 26 www sitepronews com Pa 84 27 http www articlesbase com business articles the seriousness of managing 28 http www submitawebsite com services search engine reputation management html 29 http webreputationmanagement info 30 http www buildingreputation com 31 http searchenginewatch com article 2064539 How Search Engines Rank Web Pages 32 http www scribd com doc 52096691 Web reputation 33 http www mikes marketing tools com ranking reports 34 http www encyclo co uk define Kendall9620tau9620distance kt distance 35 http stackoverflow com questions 728261 is it possible to preload page contents with ajax jquery technique 36 http moofx mad4milk net gethelp 37 http code google com p seostats tAlexa Methods 38 http analytics mikesukmanowsky com analytics index php 2008 07 08 measuring content effectiveness 39 www kryogenix org code browser sorttable 40 www devshed com c a PHP Getting Data from Yahoo Site Explorer Inbound Links API using PHP 3 41 www dbuggr com smallwei php disqus api 42 www radian6 com blo
44. lidetiom Vvelid response fedes e ertey aot POL 982 1E Status Code 455 Lo ori ifisn arroz marl vali rwwpotew cotar gt parre uri 5 partanol parem MO UM JONDE Inalis UM jr Wi s few READ puganar 411 Tt libe tbe Comair dose set eriet ev AAA iei 584 how EEES cir ia e curl pesult status mom mec wx Figure 3 5 Pa e54 m 81 iit patin dr Y i mui ERA M S part lon Funct A 4 and print out visual effects are happening in this part Also we standardized our metrics in this part Details Most of the retrieving results from classes are only the numbers and it s not user understandable Also the visual of the result that will be appearing in the user screen should have some nice view that only functions can handle it One of the other main objective is when you load the different variables in JAVASCRIPT and you would like to pass them to the user screen the only way to show them is using function to make interconnection between these 2 parts To normalize the result of classes and make them standard we used different functions methodology to handle it Functions e Screen popup function Al
45. link analysis algorithm named after Larry Page used by the Google Internet search engine Link analysis is a subset of network analysis exploring associations between objects It provides the crucial relationships and associations between very many objects of different types that are not apparent from isolated pieces of information In short Page Rank is a vote by all the other pages on the Web about how important a page is A link to a page counts as a vote of support If there s no link there s no support HRZ 2 Page Rank algorithm is in fact elegantly simple and is calculated as follows PR A 1 d d PR T1 C T1 PR Tn C Tn Where PR A is the Page Rank of a page A PR T1 is the Page Rank of a page T1 C T1 is the number of outgoing links from the page T1 dis a damping factor in the range 0 d lt 1 usually set to 0 85 The Page Rank of a web page is therefore calculated as a sum of the Page Rank s of all pages linking to it its incoming links divided by the number of links on each of those pages its outgoing links Page Rank can affect the position of your page on Google in two ways The number of incoming links Obviously the more of these the better The number of outgoing links on the page which points at your page The fewer of these the better This is interesting it means given two pages of equal Page Rank linking to you one with 5 outgoing links and the other with 10 you
46. m daily visitors www alexa com daily page views www_alexa com average spent site www_alexa com na Breadth of contributions average mimber of comments to selected post crawling number of open discussions age of source crawling average mmber of distinct tags per post crawling n a number of comments per discussion crawling Table 2 1 Reputation system is everywhere You have challenge with reputation system every day even when you don t realize it You can use reputation for life efficiency because reputation helps you make better judgment for better information Reputation is very important over internet because of extendibility of the pages to be sort base on your needs and attention Without reputation system for things like search ranking rating and review and also spam filter the web get unusable long ago Our project tries to clarify the important of the concept of web reputation in selecting web information sources and implementation of following concept over net These tools will give better view to analyzers to understand the best way of _ Relevance Centrality i e number of covered topics crawling munber of open discussions compared to largest Web blog forum crawling na number of mbound links www alexa com number of feed subscriprions Feedburner tool bounce rate www alexa com choosing
47. ncy most of the time do not meet user s expectation User are normally dissatisfied with the result of choosing adjust information source of e39 h nn E search engine with given purpose It s so obvious that to reach the best result we need multiple information sources and not only the current algorithm that most of the search engine used these days We use possibility of adjusting the ranking provided by search engines with concern of web reputation of web information sources The data quality define reputation as a dimension of information quality that measure the trustworthiness and important of information source To define the data quality dimension we assess several metrics to show the impact of reputation of different search engine Till now we have discussed a lot of theory about setup and operate the reputation system Now it s time to discuss the practical implementation of that e40 mui nn E ementation This part describes the project implementation for developing the reputation based selection of web information sources The project implements PHP 5 JavaScript and standard HTML The project will be capable of running on standard internet web browsers although the project is designed primarily around MS Internet Explorer The interface for the project will provide a user the re rank order of Google search engine with AHP methodology as a sor
48. nt classes that contain a lot of function to response and analysis our queries We are listing below the name of each class and describe the function that each of them will do Classes Class Config php In this class we define different application ID of information source to retrieve information from that API Class modules php In this class we call different module form different class to enhance the speed of showing results of query e Class google php In this class we implement different function to retrieve all related information from Google for example Google page speed score e Class yahoo php In this class we implement different function to retrieve all related information from yahoo for example yahoo inbound link Page 5 3 Class alexa php In this class we implement different function to retrieve all related information from Alexa for example Global ranking country ranking Class main php In this class we gather all other classes functions result and manipulate final result that could be call in function part Error Handling To solving the all execution error we define a class that handle all the error from server side in any of data source gt Reference class seostats php we e 0 5 8 2308 2 im s entia zat nt cst CHECKTUM API NI http ei Construct busi dur EI OOO NI 441 ve
49. nterprise should be in synch with each other Consistency refers to data values in one data set being consistent with values in another data set A strict definition of consistency specifies that two data values drawn from separate data sets must not conflict with each other in the proposed approach reputation metrics were identified that are based on the data quality dimensions These metrics have been empirically assessed for the top 15 sources identified by Google as a response to ten queries in the tourism domain in Milano and London Then we have conducted several analyses to compare Google s ranking and the ranking that is based on reputation metrics for all the queries in order to assess the distance between the two different ranking algorithms and to measure the relevance of the reputation metrics with respect to the Google s ranking algorithm Two methods are used to measure the distance between the rankings which are the Spearman s Footrule distance and Kendall tau distance To the current state of the art the literature lacks evidence demonstrating the importance of the concept of reputation in improving the ranking provided by search engines It also lacks an Paged 0 operationalization of the concept of reputation allowing the assessment of Web information sources The proposed approach is based on the reputation based selection of relevant and reliable Web information sources Common experiences of users searching the Web reveal
50. o the topic will mention those words right from the beginning Frequency is the other major factor in how search engines determine relevancy A search engine will analyze how often keywords appear in relation to other words in page 1 a web page Those with a higher frequency are often deemed more relevant than other web pages Crawler based search engines have plenty of experience now with webmasters who constantly rewrite their web pages in an attempt to gain better rankings Because of this all major search engines now also make use of off the page ranking criteria Off the page factors are those that a webmasters cannot easily influence Chief among these is link analysis By analyzing how pages link to each other a search engine can both determine what a page is about and whether that page is deemed to be important and thus deserving of a ranking boost In addition sophisticated techniques are used to screen out attempts by webmasters to build artificial links designed to boost their rankings Another off the page factor is click through measurement In short this means that a search engine may watch what results someone selects for a particular search and then eventually drop high ranking pages that aren t attracting clicks while promoting lower ranking pages that do pull in visitors Other algorithms that are used by search engines are the Page Rank and the Hyperlink Induced Topic Search HITS Page Rank is a
51. on on the right After entering values for each comparison click Calculate The results will Consistancy Ratio 0 appear in the graph on the right Importance absolutely moderately equal moderately absolutely less less tor1 more more 8 74 32 1 2 34 67 8 Value Criteria 1 5 twitter mentions Figure 3 4 Line by line Method Results Enter the weights for each comparison in the boxes below Acceptable values range from 9 yahoo inbound criterion on the left is absolutely less important than criterion on the right to 9 criterion on the google inbound leftis absolutely more important than criterion on the right After entering values for each bounce rate MN comparison click Calculate The results will appear in the graph on the right Consistancy Ratio 0 001 Importance absolutely moderately equal moderately absolutely ior more 2 2 3 4 6 7 8 Value yahoo inbound 17 google inbound yahoo inbound 2 bounce rate google inbound 1 Dounce rate Figure 3 9 8 No a 4 nn Line by line Method Results Enter the weights for each comparison in the boxes below Acceptable values range from 9 criterion on the left is absolutely less important than criterion on the right to 9 criterion on the leftis absolutely more important than criterion on the right After entering values for each comparison click Calculate The results will appear
52. ook pages mention the URL The last analysis shows that the web site mention is equal to 2 000 page views in 10 minutes It shows that how much is important the number of LJ y e Average load time function Information technology researches confirm that 75 of the Internet mention as a metric in evaluating the website e58 mui Table 3 5 Twitter mentions function Twitter mention is the total amount of Twitter pages mention the URL The last analysis shows that the web site mention is equal to 2 000 page views in 10 minutes It shows that how much is important the number of mention as a metric in evaluating the website So we classified Facebook mention base on the table shown below X BAD NORMAL cjoJe VERY GOOD PERFECT gt 10 amp X 100 X 100 amp X 1000 X gt 1000 amp X 10000 X gt 10000 Table 3 6 e Alexa back link function Alexa back link is a measure of Google s reputation It means that the number of links to our specific website site from sites visited by users in the Alexa traffic panel Those links that were not seen by users in the Alexa traffic panel are not counted Multiple links from the same site are only counted once ALEXA com We classified the number of back link base on the table that shown below X BAD NORMAL VERY GOOD PERFECT ALEXA BACKLINK X 100 gt 100 amp X 1000 X gt 1000 amp X 10000 X gt 10000 amp X 100000 X gt 100000
53. or in many fields such as education business online communities or social status Reputation can be considered as a component of the identity as defined by others The data quality literature defines reputation as a dimension of information quality that measures the trustworthiness and importance of an information source Reputation is recognized as multi dimensional quality attribute In the data quality field the concept of reputation is the result of the assessment of several properties of information sources including correctness completeness timeliness dependability and consistency The variables that affect the overall reputation of an information source are related to the institutional clout of the source to the relevance of the source in a given paged 3 nn E context and to the general quality of the source s information content To the current state of the art the literature lacks evidence demonstrating the importance of the concept of reputation in improving the ranking provided by search engines It also lacks an operationalization of the concept of reputation allowing the assessment of Web information sources Our thesis focuses on information source selection based on reputation system where the honestly and important of data source and also the limitation and restriction of available high quality data source need to be taken into consideration Chapter 1 will describe the main definition and conce
54. pt of web reputation system Chapter 2 will describe the design of a general web reputation system and discuss the issues that arise with the introduction of high quality data source constraint and different available metric that must be consider for defining the quality of information data source Chapter 3 will present implementation of our approach for information source selection based on web reputation And finally conclusion and future research direction are presented in chapter 4 e14 mui 2 STATE OF THE ART Web 2 0 technologies which are commonly associated with web applications that facilitate interactive information sharing and collaboration on the World Wide Web enable an active role of users who can create and share their contents very easily A Web 2 0 site gives its users the free choice to interact or collaborate with each other in a social media dialogue in a virtual community in contrast to websites where users consumer are limited to the passive viewing of content that was created for them This mass of information includes opinions about a variety of key interest topics e g products brands services or any subject of interest for users and represents a new and invaluable source of marketing information Web 2 0 technologies also allow people to express their opinions and distribute them through several means e g forums blog posts social networks thus increasing the amount of information on
55. reath of contribution of website over social network b Twitter mention You can mention Friends Pages events groups or apps in Twitter We count the number of mention links over Twitter 3 Relevance degree of specialization of the source in a given domain e g tourism It also means the distance between the content of a Web resource and a user s query The two most important features of your web page are the URL and the TITLE tag These are heavily weighted for relevance by the search engines Your URL should reflect the name of your business or site or type of business service or content on your site The key is to keep the URL relevant to what you are doing The other most important thing to do is to customize the TITLE tag of your html to reflect the content on your page or the message you want to convey Again it needs to be relevant to the content on the same page Many novice website completely overlook the TITLE tag and miss out on higher rankings simply because they do not include a relevant description of the page in the TITLE header tag To this extent here are the most important guidelines that should be taken into consideration in the design and the content of a source a Bounce rate Bounce rate is leaving out the first page without going into deeper It is the rate at which the visitors leave your website without really examining what it is about or not completing a particular activity or transaction 80 bounce r
56. rge amounts of users opinions are 1 Traffic overall volume of information produced and exchanged in a given time frame Web traffic is the amount of data sent and received by visitors to a web site It is a large portion of Internet traffic This is determined by the number of Paged 1 visitors and the number of pages they visit Sites monitor the incoming and outgoing traffic to see which parts or pages of their site are popular and if there are any apparent trends such as one specific page being viewed mostly by people in a particular country There are many indicators to measure traffic to your website here are some of them a Traffic rank The Alexa traffic rank is calculated using a combination of average daily reach and page views What is reach We ll have more to say about this in an upcoming post but basically it measures how many people are visiting a site expressed as a fraction of the global Internet population For example if you click on the Reach link below the Traffic Stats tab you can see that Google s reach is currently around 3396 meaning that about one in three Internet users visit google com on a typical day Alexa com b Global rank An Alexa global ranking is an indicator used to gauge site performance and appears to be popularity based which is achieved by users loading a search tool on their website c Country rank Country Rank that indicates how much traffic it gets per co
57. s on AHP value that calculated above As the AHP value is higher we show the website in the top of re ranked list e74 ui 4 CONCLUSION This thesis has presented the reputation based ranking and the results of the analyses that were conducted to identify the relevance of data quality and reputation metrics over the Google ranking algorithm and to measure the distance between the Google s ranking and the reputation based ranking Results show that the reputation metrics have different relevance to Google ranking algorithm since each ranking that is based along each of the reputation metrics has different distance values when comparing it with the Google s ranking Moreover there is a difference distance between the Google s ranking and the ranking that is based on the reputation metrics reputation based ranking and the difference percentage values show that the distance between the Google s ranking and the reputation based ranking is significant and becomes less when taking into consideration the reputation metrics weights The reputation metrics can be ordered according to their relevance to the Google ranking algorithm as follow starting from the one that has the most relevance On line since Daily pageviews Traffic Rank In bound links Bounce rate Average number of comments to post within 24 hours Number of open discussion post per day Time on site Daily pageviews user Number of distinct tags and
58. s originating in the top search results A search engine is computer software that is continually modified to avail of the latest technologies in order to provide improved search results Each search engine does the same function of collecting organizing indexing and serving results in its own unique way thus employing various algorithms and techniques which are their trade secrets In short the functions of a search engine can be categorized into the following broad areas First crawl the Web and locate all Web pages Second index the data Third rate the importance of each page in the database so that when a user does a search and the subset of pages in the database with the desired information has been found the more important pages can be presented first Gupta S Jindal A 2008 Search engines are general purpose and implement proprietary ranking algorithms which although efficient and commonly effective do not always meet users expectations Users are often dissatisfied with the ability of search engines to identify the best information sources within a given domain or for a given purpose It is common experience how the identification of relevant information on a specific issue through Web browsing requires several iterations and interesting sources may surface as a result of relatively long search sessions In Jiang et al 2008 empirical evidence is provided indicating that there is a quite large probability about 639
59. t function and final result base on reputation system Project model user HEAD user visit main page BODY showing re rank order Re ranking part Using AHP for re ranking Google result User choosing favorite domain according to their need Functions part Manipulate desire info And send for re ranking to algorithm Figure 3 Google part Link to the Google and receive the top 10 queries Classes part Retrieve diff information from Alexa Google yahoo Facebook Twitter Pa 4 1 MAIN PAGE Page 4 2 A ss Introduction The main page of the reputation based selection of web information sources is the entry point for all other pages contained in the website The user will be able to begin querying re ranking viewing different detail viewing graphs or change user preferences from this point Details The main page will be developed in HTML PHP JAVASCRIPT SEOSTATES 2 01 The page will contain links to the other pages modules The layout of the page is based on page frames Each frame will contain a link to a module A query box for users that already enters to the site will be located in the middle side of the page JavaScript arrays The main page has 2 dimensional arrays that contain the values for query box by default for simplicity of user The page will simply point to other pages that have other website API connections Error Handling Th
60. t the pages can be crawled crawl rate One reason for moving to metrics like those is that they are less obvious to the website optimizer Major search engines like Google and Yahoo Have a majority of the world s search queries at their disposal These search engines also have access to statistical data for how authoritative WebPages have evolved over time Armed with this type of information search engines can develop algorithms that can detect unnatural webpage behavior Page 19 number of different steps that must be completed before results be delivered to a person seeking information Google Web Sei Google User 1 The web server sends the query to the index 3 The search results servers The content inside the index servers is are returned to the similar to the index in the back of a book it user in a fraction of tells which pages contain the words that match a second the query 2 The query travels to the doc servers which actually retrieve the stored documents Snippets are generated to describe each search result Figure 1 Life span of a Google query Figure 2 1 Pa e20 mj 4 x The life span of a Google query normally lasts less than half a second yet involves a So why will the same search on different search engines produce different results Part of the answer to that question is because not all indices are going to be exactly the same It d
61. text only search engines relied upon on page ranking factors page 6 One of the early web crawlers was Wandex created in 1993 at MIT by Matthew Gray WebCrawler released in 1994 is considered the first web crawler to look at the entire text of a web document When ranking a document the early companies and most that followed focused on what are now called on page factors parameters a webpage author can control directly These parameters are of little use in generating relevant search results If we were to write a crude ranking algorithm we could create combinations of HTML parameters appearing on a webpage to generate ranking factors By using on page HTML parameters a simple ranking algorithm could generate a list of relevant documents to a given search query This approach has the built in assumption that the authors of the WebPages we are indexing are honest about the content they are authoring An algorithm is simply a set of instructions usually mathematical used to calculate a certain parameter and perform some type of data processing It is the search engine developer s job to generate a set of highly relevant documents for any search query using the available parameters on the web The task is challenging because the available parameters usable by the algorithm are not necessarily the same as the ones web users see when deciding if a webpage is relevant to their search Looking at the available parameters in
62. to convey our gratitude to them all in our humble acknowledgment In the first place we would like to record our gratitude to Prof Cinzia Cappiello for her supervision advice and guidance from the very early stage of this research as well as giving us extraordinary experiences throughout the work Above all and the most needed she provided us unflinching encouragement and support in various ways His truly scientist intuition has made her as a constant oasis of ideas and passions in science which exceptionally inspire and enrich our growth as a student a researcher and a scientist want to be We are indebted to her more than she knows Where would we be without our family Our parents deserve special mention for their inseparable support and prayers Our Fathers in the first place are the persons who put the fundament our learning character showing us the joy of intellectual pursuit ever since we were a child Our Mothers are the one who sincerely raised us with her caring and gently love Finally we would like to thank everybody who was important to the successful realization of thesis as well as expressing our apology that I could not mention personally one by one TABLE OF CONTENTS Chapter Page LINTRODUETION oscars lea Information is everywhere AAA Search nggih lo da daa The most important Google ranking factors sees A graphical concept of reputation
63. untry If the Alexa rank is 100 000 or less you can be confident that you will get some traffic from it Paged 2 A ss x d Rank by country The rank by country is calculated using a combination of average daily visitors and page views from users from that country over the past 3 months e Daily page views Page views measure the number of pages viewed by Alexa Toolbar users f Daily visitor Number of users that visit website each day 9 Global reach i Reach measures the number of users Reach is typically expressed as the percentage of all Internet users who visit a given site So for example if a site like yahoo com has a reach of 2896 this means that if you took random samples of one million Internet users you would on average find that 280 000 of them visit yahoo com h Average load time i This is the average load time of the pages from your website or blog 2 Breadth of contributions overall range of issues on which the source can provide information The more the issues that a source can cover the more comprehensive the source is Here are some of the ways that can be used to measure the contributions of the users to your forum or blog e33 h ui a Face book mention You can mention Friends Pages events groups or apps in Face book We count the number of mention links over Face book and it s a very good content performance indicator to understand the b
64. what s missing in the greater industry picture Length of visit The length of time someone spends or doesn t spend with your content can be a strong indicator of your content s success or shortcomings That understanding can be 6 identified as an actual visit instead of a bounce clicks through to other pieces of your Website can also add to the time someone spends on it and identify their interest in your service or product 15 Shares If your content is hitting home with your community there s a good chance individuals are sharing it with their colleagues teams and networks For instance say you received a great email newsletter today from a vendor that you know a decent portion of your Twitter network would benefit from seeing The proposed approach suggests that ranking should be based on the reputation metrics a multi dimensional ranking which take into account the effective interaction between the users and the information sources Itis common experience how the identification of relevant information on a specific issue through Web browsing requires several iterations and interesting sources may surface as a result of relatively long search sessions Empirical evidence is provided indicating that there is a quite large probability about 63 of a relevant document being found within a 1 120 rank range In addition to that the study found that the most relevant document in substantially more than 65 of the c
65. y This page includes two main parts 1 Query form 2 Query function Error Handling In here the errors could occur if the user selects too large of a quantity for queries The software will have a limit based on execution time 120 sec To resolve this issue define 8 numbers of query as default and don t let user choose number of query Information s stored in the array should be complete with details When the information s are entered into the array by functions are not complete the error Pase 6 nn handling will all be required By making sure that all information is entered from the start the output will not contain partial information gt Reference index php es Figure 3 2 27 mui m Query form and function BRA AO CNA SR IZ A irene cza e 24 AO 2 9 gt ous a U reten e mm o c AAA oc w 04 c ew ji A URBS AD 3 0 AG LEE LL __ _ ARS co E CARA oam um _ s YO u DA R m amio om on 4 o se par Figure 3 3 Pa 48 AAA A Retrieve part A ss 1 Introduction The result of query part will be passing to this section to reorganize to store

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