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Exploring the Value of Personality in Predicting Rating Behaviors
2016
Proceedings of the 10th ACM Conference on Recommender Systems - RecSys '16
Prior work relevant to incorporating personality into recommender systems falls into two categories: social science studies and algorithmic ones. Social science studies of preference have found only small relationships between personality and category preferences, whereas, algorithmic approaches found a little improvement when incorporating personality into recommendations. As a result, despite good reasons to believe personality assessments should be useful in recommenders, we are left with no
doi:10.1145/2959100.2959140
dblp:conf/recsys/KarumurNK16
fatcat:ldu3fsgwazgalpeat24ldg26km