Abstract

Enormous amount of digital information has made it increasingly challenging to identify the relevant information for users. Recommender systems were introduced to solve this problem by providing personalized recommendations to users. Context-based recommender systems are recent which uses contextual information to provide more personalized recommendations. In this paper, an exhaustive study of context-based recommender systems has been presented. The key concepts and various approaches used in context-based recommender systems have been discussed. Various application areas have also been presented.

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