Presentation 2003/7/11
A Method for Analyzing Bookmark to Support Informtaion Retrieval
Keisuke SAHODA, Kazunari SUGIYAMA, Kenji HATANO, Masatoshi YOSHIKAWA, Shunsuke UEMURA,
PDF Download Page PDF download Page Link
Abstract(in Japanese) (See Japanese page)
Abstract(in English) It is expected to propose a technique to obtain only useful information for each user. Because, it is quite difficult for users to obtain their desired information among a large amount of search results returned by a Web search engine. Therefore, it is expected to propose a technique for obtaining only useful information for each user. In this paper, we propose an assistant system for user to help users to search Web pages using both collaborative filtering and filtering exploiting the structure of web bookmark. In our study, we regard each user's bookmark as a collection of useful knowledge, so that, we consider not only bookmarked Web pages but also its structure as useful knowledge. Based on these ideas, first we develop a collaborative filtering system that recommends Web pages bookmarked by other users using keywords included in a user's browsing Web page. And then our system carefully select the recommended Web page using filtering system based on the strucuture of bookmark and propose the selected Web pages as final recommended Web pages.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) WWW / Information / collaborative filtering / recommendation
Paper # DE2003-81
Date of Issue

Conference Information
Committee DE
Conference Date 2003/7/11(1days)
Place (in Japanese) (See Japanese page)
Place (in English)
Topics (in Japanese) (See Japanese page)
Topics (in English)
Chair
Vice Chair
Secretary
Assistant

Paper Information
Registration To Data Engineering (DE)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) A Method for Analyzing Bookmark to Support Informtaion Retrieval
Sub Title (in English)
Keyword(1) WWW
Keyword(2) Information
Keyword(3) collaborative filtering
Keyword(4) recommendation
1st Author's Name Keisuke SAHODA
1st Author's Affiliation Graduate School of Information Science, Nara Institute of Science and Technology()
2nd Author's Name Kazunari SUGIYAMA
2nd Author's Affiliation Graduate School of Information Science, Nara Institute of Science and Technology
3rd Author's Name Kenji HATANO
3rd Author's Affiliation Graduate School of Information Science, Nara Institute of Science and Technology
4th Author's Name Masatoshi YOSHIKAWA
4th Author's Affiliation Information Technology Center, Nagoya University
5th Author's Name Shunsuke UEMURA
5th Author's Affiliation Graduate School of Information Science, Nara Institute of Science and Technology
Date 2003/7/11
Paper # DE2003-81
Volume (vol) vol.103
Number (no) 192
Page pp.pp.-
#Pages 6
Date of Issue