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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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Techniques for cold-starting context-aware mobile recommender systems for tourism., , and . Intelligenza Artificiale, 8 (2): 129-143 (2014)Decision Making and Recommendation Acceptance Issues in Recommender Systems., , , and . UMAP Workshops, volume 7138 of Lecture Notes in Computer Science, page 86-91. Springer, (2011)Pairwise Preferences Elicitation and Exploitation for Conversational Collaborative Filtering., and . HT, page 231-236. ACM, (2015)Replaying live-user interactions in the off-line evaluation of critique-based mobile recommendations., and . RecSys, page 81-88. ACM, (2007)Supporting product selection with query editing recommendations., and . RecSys, page 65-72. ACM, (2007)Group recommendations with rank aggregation and collaborative filtering., , and . RecSys, page 119-126. ACM, (2010)Distributional semantic pre-filtering in context-aware recommender systems., , and . User Model. User Adapt. Interact., 26 (1): 1-32 (2016)Learning User Preferences by Observing User-Items Interactions in an IoT Augmented Space., , and . UMAP (Adjunct Publication), page 35-40. ACM, (2017)Recommendations with Optimal Combination of Feature-Based and Item-Based Preferences., , and . UMAP, page 269-273. ACM, (2016)Development Tools Usage Inside Out., , and . XP, volume 251 of Lecture Notes in Business Information Processing, page 291-295. Springer, (2016)