Getting to Know You: Learning New User Preferences in Recommender Systems (2002)

by Al Mamunur Rashid , Istvan Albert , Dan Cosley , Shyong K. Lam , Sean M. Mcnee , Joseph A. Konstan , John Riedl
Citations:106 - 11 self

Active Bibliography

Personal Predictive Internet Content . . . – Andreas Komninos - 2005
15 Jumping Connections: A Graph-Theoretic Model for Recommender Systems – Batul J. Mirza - 2001
14 Applying collaborative filtering techniques to movie search for better ranking and browsing – Seung-taek Park, David M. Pennock, Dennis Decoste - 2007
35 REFEREE: An open framework for practical testing of recommender systems using ResearchIndex – Dan Cosley , Steve Lawrence, David M. Pennock - 2002
9 Collaborative Filtering Recommender Systems – J. Ben Schafer, Dan Frankowski, Jon Herlocker, Shilad Sen
48 Collaborative Filtering Recommender Systems – J. Ben Schafer, Dan Frankowski, Jon Herlocker, Shilad Sen - 2007
5 Combining Collaborative and Content-Based Filtering Using Conceptual Graphs – Patrick Paulson, Aimilia Tzanavari - 2003
6 Recommender Systems: An Experimental Comparison of two Filtering Algorithms – Emmanouil G. Vozalis, Konstantinos G. Margaritis - 2003
REPUTATION MANAGEMENT AND RECOMMENDER SYSTEMS Approved by: – unknown authors
28 Intelligent techniques for web personalization – Sarabjot Singh An, Bamshad Mobasher - 2005
92 Applying Associative Retrieval Techniques to Alleviate the Sparsity Problem in Collaborative Filtering – Zan Huang, Hsinchun Chen, Daniel Zeng - 2004
Information Services]: Web-based services – Seung-taek Park
4 Meeting User Information Needs in Recommender Systems – Sean Michael McNee - 2006
The Advantage of Careful Imputation Sources in Sparse Data-Environment of Recommender Systems: Generating Improved SVD-based Recommendations – Mustansar Ali Ghazanfar, Adam Prugel-bennett - 2012
21 Probabilistic Memory-based Collaborative Filtering – Kai Yu, Anton Schwaighofer, Volker Tresp, Xiaowei Xu, Hans-peter Kriegel
731 Toward the next generation of recommender systems: A survey of the state-of-the-art and possible extensions – Gediminas Adomavicius, Alexander Tuzhilin - 2005
Clustering to Deal with the New User Problem – Christos Bouras, Vassilis Tsogkas
10 Enhancing product recommender systems on sparse binary data – Ayhan Demiriz - 2004
98 BOUTILIER ET AL. UAI2003 Active Collaborative Filtering – Craig Boutilier, Richards Zemel, Benjamin Marlin