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An efficient collaborative filtering algorithm using SVD-free latent Semantic indexing and particle swarm optimization
2009
2009 International Conference on Natural Language Processing and Knowledge Engineering
The amount of accessible information in the Internet increases every day and it becomes greatly difficult to deal with such a huge source of information. Consequently, Recommender Systems (RS) which are considered as powerful tools for Information Retrieval (IR), can access these available information efficiently. Unfortunately, the recommendations accuracy is seriously affected by the problems of data sparsity and scalability. Additionally, the time of recommendations is very essential in the
doi:10.1109/nlpke.2009.5313754
dblp:conf/nlpke/AbdelwahabSMHKN09
fatcat:3c6nrl67czh65ccoq3egt3h2mu