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Learning Complex Users' Preferences for Recommender Systems
The data sparsity problem (i. e. the lack of available information) is one of the major challenges for the current general RSs, and they may fail to have any recommendations when there are no common items of interest among users.
Enabling the Analysis of Personality Aspects in Recommender Systems
Existing Recommender Systems mainly focus on exploiting users' feedback, e. g., ratings, and reviews on common items to detect similar users.
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