How Computers Know What We Want — Before We Do

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  1. ^ How Computers Know What We Want — Before We Do
  2. ^ Parsons, J.; Ralph, P.; Gallagher, K. (July 2004), Using viewing time to infer user preference in recommender systems., AAAI Workshop in Semantic Web Personalization, San Jose, California .
  3. ^ Montaner, M.; Lopez, B.; de la Rosa, J. L. (June 2003), "A Taxonomy of Recommender Agents on the Internet", Artificial Intelligence Review 19 (4): 285–330, doi:10.1023/A:1022850703159, http://www.springerlink.com/content/kk844421t5466k35/ .
  4. ^ Adomavicius, G.; Tuzhilin, A. (June 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, http://portal.acm.org/citation.cfm?id=1070611.1070751 .
  5. ^ Herlocker, J. L.; Konstan, J. A.; Terveen, L. G.; Riedl, J. T. (January 2004), "Evaluating collaborative filtering recommender systems", ACM Trans. Inf. Syst. 22 (1): 5–53, doi:10.1145/963770.963772, http://portal.acm.org/citation.cfm?id=963772 .
  6. ^ Sarwar, B.; Karypis, G.; Konstan, J.; Riedl, J. (2000), Application of Dimensionality Reduction in Recommender System A Case Study, http://glaros.dtc.umn.edu/gkhome/node/122 .
  7. ^ http://www.tvgenius.net/resources/white-papers/an-integrated-approach-to-tv-recommendations/
  8. ^ Takács, G.; Pilászy, I.; Németh, B.; Tikk, D. (March 2009), "Scalable Collaborative Filtering Approaches for Large Recommender Systems", Journal of Machine Learning Research 10: 623–656, http://www.jmlr.org/papers/volume10/takacs09a/takacs09a.pdf 
  9. ^ Rennie, J.; Srebro, N. (2005). "Fast Maximum Margin Matrix Factorization for Collaborative Prediction". In Luc De Raedt, Stefan Wrobel (PDF). Proceedings of the 22nd Annual International Conference on Machine Learning. ACM Press. http://people.csail.mit.edu/jrennie/papers/icml05-mmmf.pdf. 
  10. ^ http://www.tvgenius.net/resources/white-papers/an-integrated-approach-to-tv-recommendations/
  11. ^ R. Bell, Y. Koren, C. Volinsky (2007). "The BellKor solution to the Netflix Prize". http://www.netflixprize.com/assets/ProgressPrize2007_KorBell.pdf. 

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