Alleviating the new user problem in collaborative filtering by exploiting personality information

    Ignacio Fernández-Tobías
    Ignacio Fernández-Tobías
    [0]
    Matthias Braunhofer
    Matthias Braunhofer
    [0]
    Mehdi Elahi
    Mehdi Elahi
    [0]
    Francesco Ricci
    Francesco Ricci
    [0]
    Iván Cantador
    Iván Cantador
    [1]

    User Model. User-Adapt. Interact., Volume 26, Issue 2-3, 2016, Pages 221-255.

    Cited by: 71|Bibtex|9|
    EI
    Keywords:
    Recommender systemsCollaborative filteringUser personalityCold-startCross-domainMore(1+)

    Abstract:

    The new user problem in recommender systems is still challenging, and there is not yet a unique solution that can be applied in any domain or situation. In this paper we analyze viable solutions to the new user problem in collaborative filtering (CF) that are based on the exploitation of user personality information: (a) personality-based...More
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