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Incremental Associative Memory Model Algorithm for Highly Scalable Recommender Systems
2013
International Journal of Computer Applications
Recommender systems are smart and intelligent systems that often seem to know users more than users know themselves. Recommender system helps customers by recommending products they will probably like or purchase based on their purchasing, searching, browsing history and also the other similar customer's history. Their aim is to provide efficient personalized solution in Ecommerce domain that would benefit both buyer and seller. In this paper, authors proposed a neural network based approach
doi:10.5120/11705-7317
fatcat:uz2zfssumbhf3noatxnkn7asqq