Agent-community-based peer-to-peer information retrieval and its evaluation

Tsunenori Mine, Akihiro Kogo, Makoto Amamiya

Research output: Contribution to journalArticle

2 Citations (Scopus)

Abstract

The Agent-Community-based Peer-to-Peer (ACP2P) information retrieval method uses agent communities to manage and look up information of interest to users. An agent works as a delegate of its user and searches for information that the user wants by communicating with other agents. The communication between agents is carried out in a peer-to-peer computing architecture. Retrieving information relevant to a user query is performed with content files which consist of original and retrieved documents, and two histories: a query/retrieved document history and a query/sender agent history. Making use of the histories has a collaborative filtering effect, which gradually creates virtual agent communities, where agents with the same interests stay together. Our hypothesis is that a virtual agent community reduces communication loads necessary to perform a search. As an agent receives more queries, then more links to new knowledge are acquired. From this behavior, a "give-and-take" (or positive feedback) effect for agents seems to emerge. However, we have only shown parts of the effects of reducing communication loads and making "give-and-take" through preliminary experimental results. This paper discusses more detail of experimental results and shows that the two histories help in reducing communication loads among agents, facilitating bidirectional communications between them and thus creating virtual agent communities, where agents with the same interests stay together.

Original languageEnglish
Pages (from-to)1-10
Number of pages10
JournalSystems and Computers in Japan
Volume37
Issue number13
DOIs
Publication statusPublished - Nov 30 2006

Fingerprint

Peer to Peer
Information retrieval
Information Retrieval
Evaluation
Virtual Agents
Communication
Query
Community
Peer-to-peer Computing
Collaborative filtering
Positive Feedback
Collaborative Filtering
Experimental Results
Feedback
History
Necessary

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Information Systems
  • Hardware and Architecture
  • Computational Theory and Mathematics

Cite this

Agent-community-based peer-to-peer information retrieval and its evaluation. / Mine, Tsunenori; Kogo, Akihiro; Amamiya, Makoto.

In: Systems and Computers in Japan, Vol. 37, No. 13, 30.11.2006, p. 1-10.

Research output: Contribution to journalArticle

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