Personalizing recommendation diversity based on user personality

    User Model. User-Adapt. Interact., Volume 28, Issue 3, 2018, Pages 237-276.

    Cited by: 4|Bibtex|3|
    EI
    Keywords:
    Recommender systemDiversityPersonality traitsUser surveyGreedy re-ranking

    Abstract:

    In recent years, diversity has attracted increasing attention in the field of recommender systems because of its ability of catching users’ various interests by providing a set of dissimilar items. There are few endeavors to personalize the recommendation diversity being tailored to individual users’ diversity needs. However, they mainly ...More
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