JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE) ›› 2012, Vol. 42 ›› Issue (2): 11-17.

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A  new algorithm of cold-start in a collaborative filtering system

LI Gai1,2,3, LI Lei2,3   

  1. 1. Department of Electronic and Information Engineering, Shunde Polytechnic,  Shunde 528333, China;
    2. School of Information Science and Technology, Sun YatSen University, Guangzhou 510006, China;
    3. Software Institute, Sun YatSen University, Guangzhou 510275, China
  • Received:2011-05-10 Online:2012-04-20 Published:2011-05-10

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Abstract:

 In the collaborative filtering algorithms based on matrix decomposition, the new user and new item cold-start is a difficult problem. The problem of cold-start was solved by using the attribute-to-feature a mapping algorithm based on K-nearest-neighbor(KNN) to get the feature vectors of the new user and new item. The experimental evaluation using a real-world dataset showed the effectiveness of this method.
 

Key words: collaborative filtering, cold-start, alternating least squares, K-nearest-neighbor, recommendation systems

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