COLLABORATIVE WEB AGENT BASED ON FRIEND NETWORK

  • Authors:
  • Byeong Man Kim;Qing Li;Adele E. Howe;Yuanzhu Peter Chen

  • Affiliations:
  • Department of Computer Science, Kumoh National Institute of Technology, Gumi, Gyeongbuk, Korea;School of Economic Information Engineering, Southwestern University of Finance and Economics, China & School of Informatics and Computing, Arizona State University, Tempe, Arizona, USA;Department of Computer Science, Colorado State University, Fort Collins, Colorado, USA;Department of Computer Science, Memorial University of Newfoundland, St. John's, Canada

  • Venue:
  • Applied Artificial Intelligence
  • Year:
  • 2008

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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.