A hybrid ga-based collaborative filtering model for online recommenders

ICE-B 2007 - Proceedings of the 2nd International Conference on e-Business

Volumn , Issue , 2007, Pages 200-203

  Yvonne, Ho ^a   Simon, Fong ^a   Zhuang, Yan ^a  

^a UNIVERSITY OF MACAU   (Macao)

Author keywords

Collaborative filtering; Genetic algorithm; Recommendation systems

Indexed keywords

GENETIC ALGORITHMS; HEURISTIC ALGORITHMS; SIGNAL FILTERING AND PREDICTION;

ACCURACY RATES; COLLABORATIVE FILTERING; CONTENT-BASED FILTERING; E BUSINESS; HYBRID MODELS; NEW APPROACHES; PRODUCT INFORMATIONS; RECOMMENDATION SYSTEMS; TAKE ALLS; USER PROFILES;

ELECTRONIC COMMERCE;

EID: 61849176982     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (3)

1. Breese, J., Heckerman, D., and Kadie, C., 1998.Empirical Analysis of Predictive Algorithms for Collaborative Filtering. Proceedings of the 14th Conference on Uncertainty in Artificial Intelligence.
2. Ujjin, S., Bentley, P., 2002. Evolving Good Recommendations. Genetic and Evolutionary Computation Conference (GECCO).
3. GALib, http://lancet.mit.edu/ga/