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Customer Rating Prediction Using Hypergraph Kernel Based Classification

  • Fatemeh Kaveh-Yazdy
  • Xiangjie Kong
  • Jie Li
  • Fengqi Li
  • Feng Xia
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8210)

Abstract

Recommender systems in online marketing websites like Amazon.com and CDNow.com suggest relevant services and favorite products to customers. In this paper, we proposed a novel hypergraph-based kernel computation combined with k nearest neighbor (kNN) to predict ratings of users. In this method, we change regular definition style of hypergraph diffusion kernel. Our comparative studies show that our method performs better than typical kNN, which is simple and appropriate for online recommending applications.

Keywords

Recommender System Rating Prediction Classification Hypergraph Kernel 

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Copyright information

© Springer International Publishing Switzerland 2013

Authors and Affiliations

  • Fatemeh Kaveh-Yazdy
    • 1
  • Xiangjie Kong
    • 1
  • Jie Li
    • 1
  • Fengqi Li
    • 1
  • Feng Xia
    • 1
  1. 1.School of SoftwareDalian University of TechnologyDalianChina

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