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Item-based collaborative filtering recommendation algorithms

B. Sarwar,G. Karypis,J. Konstan,J. Riedl

2001 · DOI: 10.1145/371920.372071
The Web Conference · 9,860 citas

TLDR

This paper analyzes item-based collaborative ltering techniques and suggests that item- based algorithms provide dramatically better performance than user-based algorithms, while at the same time providing better quality than the best available userbased algorithms.