An agent based system for intelligent collaborative fifiltering

Research output: Chapter in Book or Conference Publication/ProceedingConference Publicationpeer-review

Abstract

This paper describes a multi-agent approach to collaborative fifiltering. The system combines traditional content fifiltering (using a semantic network representation and a spreading activation search for comparison) and social fifiltering (achieved via agent communication which is effectively triggered by user feedback). Collaborative relationships form between the agents as agents learn to trust or distrust other agents. The system aids users in overcoming the problem of information overload by presenting, on a daily basis, a ‘personalized newspaper’ comprising articles relevant to the user.

Original languageEnglish
Title of host publicationCooperative Information Agents III - 3rd International Workshop, CIA 1999, Proceedings
EditorsOnn M. Shehory, Gerhard Weiss, Matthias Klusch
PublisherSpringer-Verlag
Pages125-136
Number of pages12
ISBN (Print)3540663258, 9783540663256
DOIs
Publication statusPublished - 1999
Event3rd International Workshop on Cooperative Information Agents, CIA 1999 - Uppsala, Sweden
Duration: 31 Jul 19992 Aug 1999

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume1652
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference3rd International Workshop on Cooperative Information Agents, CIA 1999
Country/TerritorySweden
CityUppsala
Period31/07/992/08/99

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