User Personality and User Satisfaction with Recommender Systems

Author:

Nguyen Tien T.,Maxwell Harper F.,Terveen Loren,Konstan Joseph A.

Funder

University of Minnesota Informatics Institute Informatics Fellowship

National Science Foundation

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Information Systems,Theoretical Computer Science,Software

Reference36 articles.

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2. Ali, K., & van Wijnand, S. (2004). TiVo: making show recommendations using a distributed collaborative filtering architecture. In Proceedings of the tenth ACM SIGKDD international conference on Knowledge discovery and data mining. ACM, 394–401.

3. Bachrach, Y., Kosinski, M., Graepel, T., Kohli, P., & Stillwell, D. (2012). Personality and patterns of Facebook usage. In Proceedings of the 4th Annual ACM Web Science Conference. ACM, 24–32.

4. Celma, O., & Cano, P. (2008). From hits to niches?: Or how popular artists can bias music recommendation and discovery. In Proceedings of the 2nd KDD Workshop on Large-Scale Recommender Systems and the Netflix Prize Competition. ACM, 5.

5. Chang, S., Maxwell Harper, F., & Terveen, L. (2015). Using groups of items for preference elicitation in recommender systems. In Proceedings of the 18th ACM conference on computer supported cooperative work; social computing (CSCW ‘15) (pp. 1258–1269). New York, NY, USA: ACM.

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