Applying user feedback and query learning methods to multiple communities

Tsunenori Mine, Hirotake Kobayashi

研究成果: 書籍/レポート タイプへの寄稿会議への寄与

抄録

This paper proposes a novel Peer-to-Peer Information Retrieval (P2PIR) method using user feedback and query-learning. The method actively utilizes negative feedback information so that other agents can filter it out when retrieving it. The proposed method effectively increases retrieval accuracy and decreases communication loads required for document retrieval in communities. The experiments were carried out on multiple communities constructed with multi-agent framework Kodama [1]. The experimental results illustrated the validity of our proposed method.

本文言語英語
ホスト出版物のタイトルPrinciples of Practice in Multi-Agent Systems - 12th International Conference, PRIMA 2009, Proceedings
ページ276-291
ページ数16
DOI
出版ステータス出版済み - 12月 1 2009
イベント12th International Conference on Principles of Practice in Multi-Agent Systems, PRIMA 2009 - Nagoya, 日本
継続期間: 12月 14 200912月 16 2009

出版物シリーズ

名前Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
5925 LNAI
ISSN(印刷版)0302-9743
ISSN(電子版)1611-3349

その他

その他12th International Conference on Principles of Practice in Multi-Agent Systems, PRIMA 2009
国/地域日本
CityNagoya
Period12/14/0912/16/09

!!!All Science Journal Classification (ASJC) codes

  • 理論的コンピュータサイエンス
  • コンピュータ サイエンス(全般)

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