Filtragem colaborativa (FC) é uma técnica utilizada por alguns sistemas de recomendação.
Ver também
Sistemas de filtragem de informação Filtragem baseada em conteúdo Sistemas de recomendação Recuperação de informação
Ligações externas Beyond Recommender Systems: Helping People Help Each Other, page 12, 2001 Recommender Systems. Prem Melville and Vikas Sindhwani. In Encyclopedia of Machine Learning, Claude Sammut and Geoffrey Webb (Eds), Springer, 2010. Toward the next generation of recommender systems: a survey of the state-of-the-art and possible extensions. Adomavicius, G. and Tuzhilin, A. IEEE Transactions on Knowledge and Data Engineering 06.2005 Evaluating collaborative filtering recommender systems (DOI: 10.1145/963770.963772) GroupLens research papers. Content-Boosted Collaborative Filtering for Improved Recommendations. Prem Melville, Raymond J. Mooney, and Ramadass Nagarajan. Proceedings of the Eighteenth National Conference on Artificial Intelligence (AAAI-2002), pp. 187–192, Edmonton, Canada, July 2002. A collection of past and present "information filtering" projects (including collaborative filtering) at MIT Media Lab Eigentaste: A Constant Time Collaborative Filtering Algorithm. Ken Goldberg, Theresa Roeder, Dhruv Gupta, and Chris Perkins. Information Retrieval, 4(2), 133-151. July 2001. Methods and Metrics for Cold-Start Recommendations A Survey of Collaborative Filtering Techniques Su, Xiaoyuan and Khoshgortaar, Taghi. M Google News Personalization: Scalable Online Collaborative Filtering Abhinandan Das, Mayur Datar, Ashutosh Garg, and Shyam Rajaram. International World Wide Web Conference, Proceedings of the 16th international conference on World Wide Web Factor in the Neighbors: Scalable and Accurate Collaborative Filtering Yehuda Koren, Transactions on Knowledge Discovery from Data (TKDD) (2009) Rating Prediction Using Collaborative Filtering Recommender Systems Berkeley Collaborative Filtering
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