The impact of consumer preferences on the accuracy of collaborative filtering recommender systems

Author:

Köhler SebastianORCID,Wöhner Thomas,Peters Ralf

Publisher

Springer Science and Business Media LLC

Subject

Management of Technology and Innovation,Marketing,Computer Science Applications,Economics and Econometrics,Business and International Management

Reference35 articles.

1. Adomavicius, G., & Tuzhilin, A. (2005). Toward the Next Generation of Recommender Systems: A Survey of the State-of-the-Art and Possible Extensions. IEEE Transactions on Knowledge and Data Engineering, 17(6), 734–749. doi: 10.1109/TKDE.2005.99 .

2. Adomavicius, G., Bockstedt, J., Curley, S., & Zhang, J. (2011). Recommender Systems, Consumer Preferences, and Anchoring Effects. In Proceedings of the RecSys 2011 Workshop on Human Decision Making in Recommender Systems (pp. 35–42).

3. Anderson, C. (2006). The long tail: why the future of business is selling less of more (1st ed.). New York: Hyperion.

4. Bennett, J., & Lanning, S. (2007). The Netflix Prize. In Proceedings of KDD Cup and Workshop (pp. 3–6).

5. Bergemann, D., & Ozmen, D. (2006). Optimal Pricing with Recommender Systems. In: EC ‘06, Proceedings of the 7th ACM Conference on Electronic Commerce (pp. 43–51). New York: ACM. doi: 10.1145/1134707.1134713 .

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