Dynamic Bookmarks for WWW
Download
1 / 11

Hajime Takano Stanford University / NEC Corporation Terry Winograd Stanford University - PowerPoint PPT Presentation


  • 93 Views
  • Uploaded on

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.

loader
I am the owner, or an agent authorized to act on behalf of the owner, of the copyrighted work described.
capcha
Download Presentation

PowerPoint Slideshow about ' Hajime Takano Stanford University / NEC Corporation Terry Winograd Stanford University' - aimee-cobb


An Image/Link below is provided (as is) to download presentation

Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author.While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server.


- - - - - - - - - - - - - - - - - - - - - - - - - - E N D - - - - - - - - - - - - - - - - - - - - - - - - - -
Presentation Transcript

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.



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



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.


ad