Chapter 14: A survey on group modeling strategies for recommender systems
Jitendra Kumar; Y.V. Ramanjaneyulu; Korra Sathya Babu; Bidyut Kumar Patra Department of Computer Science and Engineering, National Institute of Technology Rourkela, Rourkela, Odisha, India
Abstract
E-commerce websites generate huge volumes of customer review data. In this era of bigdata, recommender systems have played a vital role in suggesting customized recommendations to the users. Recommender systems generally deal with user preferences. Increase in online group activities has fueled the need for group recommender system extremely. A group recommender system recommends one item (or more) to a group of users considered together (with some matching similarity). ...
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