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A Decentralized CF Approach Based on Cooperative Agents

  • Byeong Man Kim, Kumoh National Institute of Technology, Republic of Korea
  • Qing Li, Information & Communications University, Republic of Korea
  • Adele Howe, Colorado State University, USA

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Track: Posters

In this paper, we propose a decentralized collaborative filtering (CF) algorithm based on P2P overlay network for the autonomous agents' environment. Experiments show that our suggested agent is more scalable than traditional centralized CF filtering systems and alleviate the sparsity problem in distributed CF.

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