article

COLLABORATIVE WEB AGENT BASED ON FRIEND NETWORK

Authors:

Byeong Man Kim,

Yuanzhu Peter ChenAuthors Info & Claims

Applied Artificial Intelligence, Volume 22, Issue 4

Pages 331 - 351

https://doi.org/10.1080/08839510801972835

Published: 01 April 2008 Publication History

Abstract

Most existing web search tools do not utilize previous search experiences of others to improve performance for the current user. In this article, we present a collaborative web agent designed to enable across-user collaboration in web search and recommendation. We use our distributed collaborative filtering (CF) algorithm based on a P2P overlay network of autonomous agents. Experiments show that our proposed scheme is more scalable than traditional centralized CF filtering systems and alleviates the sparsity problem in distributed CF.

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Cited By

Tang XXu HTan YGong Y(2018)Personalized Recommendation Mechanism Based on Collaborative Filtering in Cloud Computing EnvironmentInternational Journal of Information Technology and Web Engineering10.4018/IJITWE.201707010212:3(11-27)Online publication date: 19-Dec-2018
https://dl.acm.org/doi/10.4018/IJITWE.2017070102

Index Terms

COLLABORATIVE WEB AGENT BASED ON FRIEND NETWORK
1. Human-centered computing
  1. Collaborative and social computing
2. Information systems
  1. Information retrieval
    1. Evaluation of retrieval results
      1. Relevance assessment
  2. Information storage systems

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Published In

cover image Applied Artificial Intelligence

Applied Artificial Intelligence Volume 22, Issue 4

April 2008

94 pages

ISSN:0883-9514

EISSN:1087-6545

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Taylor & Francis, Inc.

United States

Publication History

Published: 01 April 2008

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Cited By

Tang XXu HTan YGong Y(2018)Personalized Recommendation Mechanism Based on Collaborative Filtering in Cloud Computing EnvironmentInternational Journal of Information Technology and Web Engineering10.4018/IJITWE.201707010212:3(11-27)Online publication date: 19-Dec-2018
https://dl.acm.org/doi/10.4018/IJITWE.2017070102

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