Rule extraction from blog using Inductive logic Programming

Noriaki Chikara, Miyuki Koshimura, Hiroshi Fujita, Ryuzo Hasegawa

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

1 被引用数 (Scopus)

抄録

Information recommender system attempts to present information that is likely to be useful for the user. Showing recommendation reason is an important role of the system. However, current recommender systems give only simple or quantitative reasons for the recommendation. In this paper, we aim at giving precise and non-quantitative reasons which are also easy to understand. We make use of formulas in first-order predicate logic for explaining the reason. In order to build such formulas, we use Inductive logic Programming. We succeeded to extract several useful formulas from blogs.

本文言語英語
ホスト出版物のタイトルProceedings - 2010 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Workshops, WI-IAT 2010
ページ269-272
ページ数4
DOI
出版ステータス出版済み - 2010
イベント2010 3rd IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Workshops, WI-IAT 2010 - Toronto, ON, カナダ
継続期間: 8 31 20109 3 2010

出版物シリーズ

名前Proceedings - 2010 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Workshops, WI-IAT 2010

その他

その他2010 3rd IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Workshops, WI-IAT 2010
国/地域カナダ
CityToronto, ON
Period8/31/109/3/10

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
  • ソフトウェア

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