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

, , , , and . User Model. User Adapt. Interact., 26 (2-3): 221-255 (2016)

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On the Use of Cross-Domain User Preferences and Personality Traits in Collaborative Filtering., and . UMAP, volume 9146 of Lecture Notes in Computer Science, page 343-349. Springer, (2015)Memory-based Recommendations of Entities for Web Search Users., and . CIKM, page 35-44. ACM, (2016)Design and Evaluation of Cross-Domain Recommender Systems., , , , and . Recommender Systems Handbook, Springer US, (2022)Modeling Emotions with Social Tags., , and . UMAP, volume 7899 of Lecture Notes in Computer Science, page 331-334. Springer, (2013)Knowledge-based music retrieval for places of interest., , , and . MIRUM, page 19-24. (2012)Personality-Aware Collaborative Filtering: An Empirical Study in Multiple Domains with Facebook Data., and . EC-Web, volume 188 of Lecture Notes in Business Information Processing, page 125-137. Springer, (2014)Addressing the Cold Start with Positive-Only Feedback Through Semantic-Based Recommendations., , , and . International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 25 (Supplement-2): 57-78 (2017)Parsimonious and Adaptive Contextual Information Acquisition in Recommender Systems., , and . IntRS@RecSys, volume 1438 of CEUR Workshop Proceedings, page 2-8. CEUR-WS.org, (2015)Interaction Design in a Mobile Food Recommender System., , , , , and . IntRS@RecSys, volume 1438 of CEUR Workshop Proceedings, page 49-52. CEUR-WS.org, (2015)Exploiting Social Tags in Matrix Factorization Models for Cross-domain Collaborative Filtering., and . CBRecSys@RecSys, volume 1245 of CEUR Workshop Proceedings, page 34-41. CEUR-WS.org, (2014)