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Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 5692 LNCS, Issue , 2009, Pages 229-239

Computational complexity reduction for factorization-based collaborative filtering algorithms

(2) Pilászy, István a Tikk, Domonkos a

a BUDAPEST UNIVERSITY OF TECHNOLOGY AND ECONOMICS (Hungary)

Author keywords

Alternating least squares; Collaborative filtering; Greedy feature selection; Kernel ridge regression; Matrix factorization; Sherman Morrison formula

Indexed keywords

COMPUTATIONAL COMPLEXITY; ELECTRONIC COMMERCE; FACTORIZATION; FEATURE EXTRACTION; MATRIX ALGEBRA; REGRESSION ANALYSIS; SIGNAL FILTERING AND PREDICTION;

ALTERNATING LEAST SQUARES; COLLABORATIVE FILTERING ALGORITHMS; COMPUTATIONAL COMPLEXITY REDUCTIONS; EXPLICIT FEEDBACK; GREEDY FORWARD; KERNEL RIDGE REGRESSIONS; MATRIX FACTORIZATIONS; SHERMAN-MORRISON FORMULA;

COLLABORATIVE FILTERING;

EID: 70350489297 PISSN: 03029743 EISSN: 16113349 Source Type: Book Series
DOI: 10.1007/978-3-642-03964-5_22 Document Type: Conference Paper

Times cited : (2)

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