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Impact of Implicit and Explicit Affective Labeling on a Recommender System's Performance.

, , , and . UMAP Workshops, volume 7138 of Lecture Notes in Computer Science, page 342-354. Springer, (2011)

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Using Social Media Mining for Estimating Theory of Planned Behaviour Parameters., , , , , , and . UMAP Workshops, volume 1181 of CEUR Workshop Proceedings, CEUR-WS.org, (2014)Personality and Social Context: Impact on Emotion Induction from Movies., , , and . UMAP Workshops, volume 997 of CEUR Workshop Proceedings, CEUR-WS.org, (2013)Managing Irrelevant Contextual Categories in a Movie Recommender System., , and . Decisions@RecSys, volume 1050 of CEUR Workshop Proceedings, page 29-35. CEUR-WS.org, (2013)Detecting, Acquiring and Exploiting Contextual Information in Personalized Services.. UMAP, volume 7379 of Lecture Notes in Computer Science, page 374-377. Springer, (2012)Impact of Implicit and Explicit Affective Labeling on a Recommender System's Performance., , , and . UMAP Workshops, volume 7138 of Lecture Notes in Computer Science, page 342-354. Springer, (2011)Emotion-Aware Recommender Systems - A Framework and a Case Study., , , , and . ICT Innovations, volume 207 of Advances in Intelligent Systems and Computing, page 141-150. Springer, (2012)Exploiting implicit affective labeling for image recommendations., , , and . SMC, page 3321-3326. IEEE, (2012)Predicting and Detecting the Relevant Contextual Information in a Movie-Recommender System., , , and . Interact. Comput., 25 (1): 74-90 (2013)How to improve the statistical power of the 10-fold cross validation scheme in recommender systems., , and . RepSys@RecSys, page 3-6. ACM, (2013)EMPIRE 2015: Workshop on Emotions and Personality in Personalized Systems., , , , and . RecSys, page 343-344. ACM, (2015)