User-schedule-based Web page recommendation

Tetsuya Oishi, Shunsuke Kuramoto, Hiroto Nagata, Tsunenori Mine, Ryuzo Hasegawa, Hiroshi Fujita, Miyuki Koshimura

研究成果: Chapter in Book/Report/Conference proceedingConference contribution

3 被引用数 (Scopus)

抄録

In web retrieval, it is often the case that the results given by search engines are not just what we want. To solve this problem there have been many studies on improving queries to be submitted to search engines. However, they are still insufficient due to lack of consideration on time information. To remedy this we propose a user-schedule-based web page recommendation method. The method makes use of a user's schedule to make the recommendation suite to his/her requests. In addition, an algorithm for extracting related words is introduced as a key technique in this method. Some preliminary experiments show very promising results in recommending web pages relevant to users requests. We also confirmed that this algorithm outper-forms a method using mutual information.

本文言語英語
ホスト出版物のタイトルProceedings of the IEEE/WIC/ACM International Conference on Web Intelligence, WI 2007
ページ776-779
ページ数4
DOI
出版ステータス出版済み - 2007
イベントIEEE/WIC/ACM International Conference on Web Intelligence, WI 2007 - Silicon Valley, CA, 米国
継続期間: 11 2 200711 5 2007

出版物シリーズ

名前Proceedings of the IEEE/WIC/ACM International Conference on Web Intelligence, WI 2007

その他

その他IEEE/WIC/ACM International Conference on Web Intelligence, WI 2007
国/地域米国
CitySilicon Valley, CA
Period11/2/0711/5/07

All Science Journal Classification (ASJC) codes

  • 人工知能
  • コンピュータ ネットワークおよび通信

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