Smoothing approach to alleviate the meager rating problem in collaborative recommender systems

Future Generation Computer Systems

Volumn 29, Issue 1, 2013, Pages 262-270

  Devi, M K Kavitha ^a   Venkatesh, P ^a  

^a THIAGARAJAR COLLEGE OF ENGINEERING   (India)

Author keywords

Cold start problem; Collaborative Filtering; Fuzzy radial basis function network; Meager rating problem

Indexed keywords

COLD START PROBLEMS; COLLABORATIVE FILTERING; COLLABORATIVE RECOMMENDER SYSTEMS; COMPUTATIONAL TIME; DATA SETS; EMPIRICAL EVALUATIONS; FUZZY C MEAN; MACHINE LEARNING TECHNIQUES; MEAGER RATING PROBLEM; MULTI LAYER PERCEPTRON; NEURAL NETWORK APPROXIMATION; OFFLINE; SYSTEM USE;

APPROXIMATION THEORY; DECISION SUPPORT SYSTEMS; RADIAL BASIS FUNCTION NETWORKS; RECOMMENDER SYSTEMS; SIGNAL FILTERING AND PREDICTION; SINGULAR VALUE DECOMPOSITION; SUPPORT VECTOR MACHINES;

RATING;

EID: 84867863242     PISSN: 0167739X     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.future.2011.05.011     Document Type: Conference Paper

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