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ICPR
2008
IEEE
14 years 8 months ago
Efficient user preference predictions using collaborative filtering
Two major challenges in collaborative filtering are the efficiency of the algorithms and the quality of the recommendations. A variety of machine learning methods have been applie...
C. Lee Giles, Yang Song
SIGIR
2006
ACM
14 years 1 months ago
Unifying user-based and item-based collaborative filtering approaches by similarity fusion
Memory-based methods for collaborative filtering predict new ratings by averaging (weighted) ratings between, respectively, pairs of similar users or items. In practice, a large ...
Jun Wang, Arjen P. de Vries, Marcel J. T. Reinders
CSCW
2006
ACM
14 years 1 months ago
Don't look stupid: avoiding pitfalls when recommending research papers
If recommenders are to help people be more productive, they need to support a wide variety of real-world information seeking tasks, such as those found when seeking research paper...
Sean M. McNee, Nishikant Kapoor, Joseph A. Konstan
ICALT
2008
IEEE
14 years 1 months ago
Personalized Access and Students' Coauthoring in Repositories of Learning Objects: The Case of a Repository of Programming Examp
This paper presents a Case-Based Reasoning approach for the personalized access and the students’ coauthoring tasks in on-line repositories of Learning Objects (LOs). The person...
Mercedes Gómez-Albarrán, Susana Baut...
DATAMINE
2002
135views more  DATAMINE 2002»
13 years 7 months ago
Discovery and Evaluation of Aggregate Usage Profiles for Web Personalization
: Web usage mining, possibly used in conjunction with standard approaches to personalization such as collaborative filtering, can help address some of the shortcomings of these tec...
Bamshad Mobasher, Honghua Dai, Tao Luo, Miki Nakag...