Making Recommendations for Groups Using Collaborative Filtering and Fuzzy Majority
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In recent years, recommender systems have achieved a great success. Popular sites like Amazon.com and CDNow give thousands of recommendations every day. However, although many activities are carried out in groups, like going to the theater with friends, these systems are focused on recommending items for individual users. This brings out the need of systems capable of performing recommendations for groups of people, a domain that has received little attention in the literature. In this article we introduce an investigation of automatic group recommendations, making connections with problems considered in social choice and psychology. Then we suggest a novel method of making recommendations for groups, based on existing techniques of collaborative filtering and classification of alternatives using fuzzy majority. Finally we experimentally evaluate the proposed method to see its behavior under groups of different sizes and degrees of homogeneity.
- Arrow, K. J. Social Choice and Individual Values, Wiley, New York, 2nd edition, 1963.
- Chiclana, F., Herrera, F., Herrera-Viedma, E., Poyatos, M. C. A classification method of alternatives for multiple preference ordering criteria based on fuzzy majority. Journal of Fuzzy Mathematics, 4(4):801–813, December 1996.
- Compaq Systems Research Center. Eachmovie collaborative filtering data set. http://www.research.compaq.com/SRC/eachmovie, 2001.
- Herlocker, J. L., Konstan, J. A., Borchers A., Riedl, J. An algorithmic framework for performing collaborative filtering. In Proceedings of the 22nd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 230–237, 1999.
- Hill, W., Stead, L., Rosenstein, M., Furnas, G. Recommending and evaluating choices in a virtual community of use. In Proceedings of ACM CHI’95 Conference on Human Factors in Computing Systems, vol. 1 of Papers: Using the Information of Others, 194–201, 1995.
- Hinsz, V. B. Group decision making with responses of a quantitative nature: The theory of social decision schemes for quantities. Organizational Behavior and Human Decision Processes, 80(1):28–49, October 1999.
- Lieberman, H., Dyke N. W. V., Vivacqua, A. S. Let’s browse: A collaborative web browsing agent. In Proceedings of the 1999 International Conference on Intelligent User Interfaces, Collaborative Filtering and Collaborative Interfaces, 65–68, 1999.
- Mohammed, S., Ringseis, E. Cognitive diversity and consensus in group decison making: The role of inputs, processes, and outcomes. Organizational Behavior and Human Decision Processes, 85(2):310–335, July 2001.
- Montgomery, D. C. Design and Analysis of Experiments. Wiley, NY, 4th ed., 1997.
- Resnick, P., Iacovou, N., Suchak, M., Bergstrom, P., Ried1, J. Grouplens: An open architecture for collaborative filtering of netnews. In Proceedings of ACM CSCW’94 Conference on Computer-Supported Cooperative Work, 175–186, 1994.
- Stasser, G. A primer of social decision scheme theory: Models of group influence, competitive model-testing, and prospective modeling. Organizational Behavior and Human Decision Processes, 80(1):3–20, October 1999.
- Making Recommendations for Groups Using Collaborative Filtering and Fuzzy Majority
- Book Title
- Advances in Artificial Intelligence
- Book Subtitle
- 16th Brazilian Symposium on Artificial Intelligence, SBIA 2002 Porto de Galinhas/Recife, Brazil, November 11–14, 2002 Proceedings
- pp 248-258
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- Online ISBN
- Series Title
- Lecture Notes in Computer Science
- Series Volume
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- Springer Berlin Heidelberg
- Copyright Holder
- Springer-Verlag Berlin Heidelberg
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- Editor Affiliations
- 1. Departamento de Automação e Sistemas, Universidade Federal de Santa Catarina
- 2. Centro de Informática, Universidade Federal de Pernambuco
- Author Affiliations
- 5. Centra de Informática — Cin/UFPE - Cx, Postal 7851, CEP 50732-970, Recife, Brazil
- 6. Laboratoire d’Informatique de Paris VI - LIP6 — 4, Place Jussieu, 75232, Paris, France
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