Dynamic Bookmarks for WWW
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Hajime Takano Stanford University / NEC Corporation Terry Winograd Stanford University PowerPoint PPT Presentation


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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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Hajime takano stanford university nec corporation terry winograd stanford university

Dynamic Bookmarks for WWWManaging Personal Navigation Space by Analysis of Link Structure and User Behavior

Hajime Takano

Stanford University / NEC Corporation

Terry WinogradStanford University


Problems

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


Requirements

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.


Wdb bookmark viewer

WDB Bookmark Viewer


Organizing history

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


Segmentation strategies

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


The second order connectedness

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.


Consideration on user behavior

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


Algorithm equations

Algorithm - equations


Automatic archiving

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


Future work

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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