Backward Path Growth for Efficient Mobile Sequential Recommendation
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Description
Recommender systems are commonly defined as applications that e-commerce sites exploit to suggest products and provide consumers with information to facilitate their decision-making processes. They implicitly assume that the system can map user needs and constraints, through appropriate recommendation algorithms, and convert them into product selections using knowledge compiled into the intelligent recommender.
Tags: 2014, Data Mining Projects, Java



