Addressing the Cold Start with Positive-Only Feedback Through Semantic-Based Recommendations

International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, Volume 25, Issue Supplement-2, 2017, Pages 57-78.

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Abstract:

Recommender systems aim to provide users with accurate item suggestions in a personalized fashion, but struggle in the case of cold start users, for whom there is a scarcity of preference data. User preferences can be either explicitly stated by the users — often by means of ratings —, or implicitly acquired by a system — for instance by ...More

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