Applying user feedback and query learning methods to multiple communities

Tsunenori Mine, Hirotake Kobayashi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

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.

Original languageEnglish
Title of host publicationPrinciples of Practice in Multi-Agent Systems - 12th International Conference, PRIMA 2009, Proceedings
Pages276-291
Number of pages16
DOIs
Publication statusPublished - Dec 1 2009
Event12th International Conference on Principles of Practice in Multi-Agent Systems, PRIMA 2009 - Nagoya, Japan
Duration: Dec 14 2009Dec 16 2009

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume5925 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other12th International Conference on Principles of Practice in Multi-Agent Systems, PRIMA 2009
CountryJapan
CityNagoya
Period12/14/0912/16/09

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

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  • Cite this

    Mine, T., & Kobayashi, H. (2009). Applying user feedback and query learning methods to multiple communities. In Principles of Practice in Multi-Agent Systems - 12th International Conference, PRIMA 2009, Proceedings (pp. 276-291). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5925 LNAI). https://doi.org/10.1007/978-3-642-11161-7_19