Web page recommender system based on Folksonomy mining for ITNG '06 submissions

Satoshi Niwa*, Takuo Doi, Shinichi Honiden

*この研究の対応する著者

研究成果: Conference contribution

70 被引用数 (Scopus)

抄録

There have been many attempts to construct web page recommender systems using collaborative filtering. But the domains these systems can cover are very restricted because it is very difficult to assemble user preference data to web pages, and the number of web pages on the Internet is too large. In this paper, we propose the way to construct a new type of web page recommender system covering all over the Internet, by using Folksonomy and Social Bookmark which are getting very popular in these days.

本文言語English
ホスト出版物のタイトルProceedings - Third International Conference onInformation Technology
ホスト出版物のサブタイトルNew Generations, ITNG 2006
ページ388-393
ページ数6
DOI
出版ステータスPublished - 2006 11 14
外部発表はい
イベントThird International Conference on Information Technology: New Generations, ITNG 2006 - Las Vegas, NV, United States
継続期間: 2006 4 102006 4 12

出版物シリーズ

名前Proceedings - Third International Conference onInformation Technology: New Generations, ITNG 2006
2006

Other

OtherThird International Conference on Information Technology: New Generations, ITNG 2006
国/地域United States
CityLas Vegas, NV
Period06/4/1006/4/12

ASJC Scopus subject areas

  • 工学(全般)

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