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. © Springer International Publishing 2013.
CITATION STYLE
Kaveh-Yazdy, F., Kong, X., Li, J., Li, F., & Xia, F. (2013). Customer rating prediction using hypergraph kernel based classification. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 8210 LNCS, pp. 187–192). Springer Verlag. https://doi.org/10.1007/978-3-319-02750-0_19
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