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G. Adomavicius and A. Tuzhilin, “Context-Aware Recommender Systems,” In: F. Ricci, L. Rokach, B. Shapira and P. B. Kantor, Eds., Recommender Systems Handbook, Part 1, Springer Science + Business Media, New York 2011, pp. 217-256.

has been cited by the following article:

• TITLE: A Contextual Item-Based Collaborative Filtering Technology

  AUTHORS: Xueqing Tan, Pan Pan

  KEYWORDS: Context; Item-Based; Collaborative Filtering

  JOURNAL NAME: Intelligent Information Management, Vol.4 No.3, May 25, 2012

  ABSTRACT: This paper proposes a contextual item-based collaborative filtering technology, which is based on the traditional item-based collaborative filtering technology. In the process of the recommendation, user’s important mobile contextual information are taken into account, and the technology combines with those ratings on the items in the users’ historical contextual information who are familiar with user’s current context information in order to predict that which items will be preferred by user in his or her current context. At the end, an experiment is used to prove that the technology proposed in this paper can predict user’s preference in his or her mobile environment more accurately.