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Hajime Takano Stanford University / NEC Corporation Terry Winograd Stanford University

Dynamic Bookmarks for WWW Managing Personal Navigation Space by Analysis of Link Structure and User Behavior. Hajime Takano Stanford University / NEC Corporation Terry Winograd Stanford University. Problems. WWW Space. Bookmark Management is tiresome. forget to add useful URLs.

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Hajime Takano Stanford University / NEC Corporation Terry Winograd Stanford University

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  1. Dynamic Bookmarks for WWWManaging Personal Navigation Space by Analysis of Link Structure and User Behavior Hajime Takano Stanford University / NEC Corporation Terry WinogradStanford University

  2. Problems WWW Space • Bookmark Management is tiresome. • forget to add useful URLs. • Useful URLs are varying. • Useless URLs are remaining. • Users want to focus on navigation itself. • Decision to add or not • Evaluation for Social Filtering • Users should explore again around a bookmarked URL. Mailing list, E-News, Web Magazine, etc… Personal Info. Space Bookmark

  3. Requirements • Organizing History • Well-organized history helps users to revisit sites/pages. • Evaluating Site/Page Importance • Good sites/pages should be prominent. • Automatically Creating & Managing Navi. History • Less efforts are expected to manage bookmarks.

  4. WDB Bookmark Viewer

  5. Organizing History • Meta Page • Sources to sites • ex) Search results, link lists, etc. • Home Page • Front page of a sites • ex) http://www.stanford.edu/ • Landmark Page • Useful pages in a site • ex) http://www.stanford.edu /home/academics/schools.html 3-Layer Management Yahoo HotBot Link page www.cs.stanford

  6. Clustering by Hostname / directory Finding Home Page filename: ex) index.html directory depth: ex) /htakano/ Finding links among clusters Reference Links Segmentation Strategies Root Home Home www.Stanford.EDU www-cs.Stanford.EDU Reference links

  7. in Sougata, Hypertext97 paper The number of nodes can be reached by following at most two links. Income links + Outgo links The Second-order Connectedness Second-Order Connectedness • shows a chance to reach more info. Back Second-Order Connectedness • shows a reliability referred by more info.

  8. Emphasizing Number of Visited Pages Number of Following Links add visit count on a link Reducing Number of Unvisited links useless for a user use Logarithm scale Expiring old behaviors Consideration on User Behavior

  9. Algorithm - equations

  10. Automatic Archiving • Implemented as “Intelligent” Proxy Server • Tracking Every HTTP Access • Following “Referrer: “ field • Analyzing HTML • Archiving into URL DB • Analyzing data in URL DB • Implementation • Java 1.1.5 • ObjectStore PSE for Java WWW Browser Bookmark Viewer WDB HTML Analysis Viewer Engine Access Tracking Importance Calculator URL Database WWW Space

  11. Future Work • Evaluation • How well this algorithm evaluate page/site importance ? • Does WDB really help users’ navigation task? • Further Researches • Shared Bookmark Architecture • Integration with other techniques: • Content Analysis, Classification, etc. • Hierarchical Visualization.

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