Towards optimal active learning for matrix factorization in recommender systems

Proceedings - International Conference on Tools with Artificial Intelligence, ICTAI

Volumn , Issue , 2011, Pages 1069-1076

  Karimi, Rasoul ^a   Freudenthaler, Christoph ^a   Nanopoulos, Alexandros ^a   Schmidt Thieme, Lars ^a  

^a UNIVERSITY OF HILDESHEIM   (Germany)

Author keywords

Active learning; Matrix factorization; Recommender system

Indexed keywords

ACTIVE LEARNING; ACTIVE LEARNING METHODS; CLOSED FORM; CLOSED FORM SOLUTIONS; INFORMATION OVERLOADS; MATRIX FACTORIZATIONS; OPTIMAL SELECTION; OPTIMAL SOLUTIONS; PREDICTION ACCURACY; PREDICTION MODEL; TEST DATA; WEB USERS;

ARTIFICIAL INTELLIGENCE; CONTENT BASED RETRIEVAL; FACTORIZATION; LEARNING SYSTEMS; MATHEMATICAL MODELS; OPTIMIZATION; RECOMMENDER SYSTEMS;

MATRIX ALGEBRA;

EID: 84855759376     PISSN: 10823409     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICTAI.2011.182     Document Type: Conference Paper

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