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LLORMA: Local low-rank matrix approximation
Joonseok Lee
, Seungyeon Kim
, Guy Lebanon
, Yoram Singer
, Samy Bengio
Computer Science
Center for Statistics & Machine Learning
Research output
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Contribution to journal
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Article
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peer-review
98
Scopus citations
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Dive into the research topics of 'LLORMA: Local low-rank matrix approximation'. Together they form a unique fingerprint.
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Mathematics
Matrix (Mathematics)
100%
Approximated Matrix
100%
Approximates
20%
Weighted Sum
20%
Classical Approach
20%
Keyphrases
Low-rank Modeling
33%
Recommendation Tasks
33%
Text Mining
33%
Computer Science
Text Mining
25%