Comparing context-aware recommender systems in terms of accuracy and diversity

    User Model. User-Adapt. Interact., pp. 35-65, 2014.

    Cited by: 124|Bibtex|25|
    EI
    Keywords:
    Context-aware recommender systemsCARSPre-filteringPost-filteringContextual modelingMore(3+)

    Abstract:

    Although the area of context-aware recommender systems (CARS) has made a significant progress over the last several years, the problem of comparing various contextual pre-filtering, post-filtering and contextual modeling methods remained fairly unexplored. In this paper, we address this problem and compare several contextual pre-filtering...More
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