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Web Page Title John McCarthys John Mitchell Stanford Venture Law Lo cal Startup Stanford CS Home Page University of Michigan AI Lab University of Toronto CS Department Stanford CS Theory Group Leadershap e Institute John McCarthys View Netscap es View Table Page for Two Dierent Views McCarthy CS Ranks Group Firm Theory Law Netscap e vs John that p oint the disparity an assortment of dierent pages Pages related to computer science have a higher McCarthyrank than Netscap erank and pages related to computer science at Stanford have a considerably higher McCarthyrank For example the Web page of another Stanford Computer Science Dept faculty memb er is more than six p ercentile p oints higher on the McCarthyrank Note that the page ranks are displayed as p ercentiles This has the eect of compressing large dierences in PageRank at the top of the range Such p ersonalized page ranks may have a numb er of applications including p ersonal search engines These search engines could save users a great deal of trouble by eciently guessing a large part of their interests given simple input such as their b o okmarks or home page We show an PageRank Percentile PageRank Percentile Home Page decreased In Table we show the resulting page rank p ercentiles for example of this in App endix A with the while there are many p eople on the web of a colleague of John McCarthy named John Mitchell Mitchell query In this example we demonstrate that named Mitchell the numb er one result is the home page Manipulation by Commercial Interests These typ es of p ersonalized PageRanks are virtually immune to manipulation by commercial in terests For a nonimp ortant advertisementslinks on imp ortant This immunity to manipulation is an extremely imp ortant prop erty This kind of commercial ma nipulation is causing search engines a great deal of trouble and making features that would b e great to have very dicult to implement For example fast up dating of do cuments is a very desirable feature but it is abused by p eople who want to manipulate the results of the search engine A compromise b etween the two extremes of uniform E and all the ro ot level pages of all web servers Notice this will allow Someone who wished to manipulate this system could simply create a large numb er of ro ot level servers all p ointing at a particular site page to get a high pages to link to it PageRank it must convince an imp ortant page or a lot of At worst you can have manipulation in the form of buying sites But this seems well under control since it costs money single page E is to let E consist of some manipulation of PageRanksPDF Image | PageRank Citation Ranking Bringing Order to the Web
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