A Peer-to-Peer CF-Recommendation for Ubiquitous Environment

  • Hyea Kyeong Kim
  • Kyoung Jun Lee
  • Jae Kyeong Kim
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4088)


In ubiquitous environment where all entities can freely connect and collaborate with each other from anywhere, the amount of accessible information is overwhelming and desired information often remains unfound. So there is a growing need to provide the personalized recommendation services for the customers in ubiquitous space. This paper suggests a UREC_P2P(U-RECom-mendation by peer-to-peer), a recommendation procedure in ubiquitous environment adopting P2P technologies combined with collaborative filtering algorithm. UREC_P2P is implemented and comparatively evaluated with a CF-based recommender system in client-server environment. The evaluation result shows that UREC_P2P has a good potential to be a preeminent and realistic solution to the recommendation problems encountered in ubiquitous environment.


Recommender System Ubiquitous Computing Collaborative Filter Queue Size Recommendation List 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Hyea Kyeong Kim
    • 1
  • Kyoung Jun Lee
    • 1
  • Jae Kyeong Kim
    • 1
  1. 1.School of Business AdministrationKyung Hee UniversitySeoulKorea

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