Incremental Associative Memory Model Algorithm for Highly Scalable Recommender Systems

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Provided by: International Journal of Computer Applications
Topic: Collaboration
Format: PDF
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 E-commerce domain that would benefit both buyer and seller. In this paper, the authors proposed a neural network based approach called Associative Memory Model (AMM) to recommend items to users and also explain Incremental AMM for dynamic dataset.
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