Efficient collaborative filtering recommendations with multi-channel feature vectors

    Zhi-Heng Zhang
    Zhi-Heng Zhang

    International Journal of Machine Learning and Cybernetics, pp. 1-8, 2018.

    Cited by: 2|Bibtex|Views2|Links
    EI
    Keywords:
    Collaborative filtering Feature-vector similarity Multi-channel Recommender system

    Abstract:

    Feature vectors and similarity measures are the two key issues of most existing collaborative filtering (CF) algorithms. In item-based CF algorithms, the feature vector is often defined as the ratings of all users for a given item. For a recommender system with n users, m items, and c ratings, the length of the feature vector is n; hence,...More

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