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CIKM
2009
Springer
15 years 4 months ago
Incremental query evaluation for support vector machines
Support vector machines (SVMs) have been widely used in multimedia retrieval to learn a concept in order to find the best matches. In such a SVM active learning environment, the ...
Danzhou Liu, Kien A. Hua
SIGIR
2004
ACM
15 years 3 months ago
Evaluation of filtering current news search results
We describe an evaluation of result set filtering techniques for providing ultra-high precision in the task of presenting related news for general web queries. In this task, the n...
Steven M. Beitzel, Eric C. Jensen, Abdur Chowdhury...
RECSYS
2010
ACM
14 years 10 months ago
Nantonac collaborative filtering: a model-based approach
A recommender system has to collect users' preference data. To collect such data, rating or scoring methods that use rating scales, such as good-fair-poor or a five-point-sca...
Toshihiro Kamishima, Shotaro Akaho
GFKL
2005
Springer
114views Data Mining» more  GFKL 2005»
15 years 3 months ago
Attribute-aware Collaborative Filtering
One of the key challenges in large information systems such as online shops and digital libraries is to discover the relevant knowledge from the enormous volume of information. Rec...
Karen H. L. Tso, Lars Schmidt-Thieme
SPIRE
2009
Springer
15 years 4 months ago
Sketching Algorithms for Approximating Rank Correlations in Collaborative Filtering Systems
Collaborative filtering (CF) shares information between users to provide each with recommendations. Previous work suggests using sketching techniques to handle massive data sets i...
Yoram Bachrach, Ralf Herbrich, Ely Porat