Exploiting the characteristics of matrix factorization for active learning in recommender systems

RecSys'12 - Proceedings of the 6th ACM Conference on Recommender Systems

Volumn , Issue , 2012, Pages 317-320

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

^a UNIVERSITY OF HILDESHEIM   (Germany)

Author keywords

Active learning; New user problem; Recommender system

Indexed keywords

ACTIVE LEARNING; ACTIVE LEARNING METHODS; INFORMATION OVERLOADS; MATRIX FACTORIZATIONS; USER PROBLEMS; WEB USERS;

QUERY PROCESSING; RECOMMENDER SYSTEMS;

PROBLEM SOLVING;

EID: 84867366676     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2365952.2366031     Document Type: Conference Paper

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