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Future of next generation recommender systems

Author Affiliations

  • 1Department of Computer Science & Engg., BIT Durg, (CG), India
  • 2Department of Computer Science & Engg., BIT Durg, (CG), India

Res. J. Computer & IT Sci., Volume 5, Issue (4), Pages 9-12, June,20 (2017)


With so many overwhelming information filtering-cum-accessing options from the Web, there is a need to sort, prioritize and offer relevant information efficiently in order to alleviate the problem of information overload. Till date, the exhaustive survey on recommender systems have unfolded their various contextual components like design types, filtering approaches, recommendation criteria, evaluation metrics, performance metrics and deployed application domains. Recommender systems have been reported to apply machine learning algorithms in evolutionary ladder on information, products and services of users’ interest among the tremendous amount of available items. In this paper, we discuss various approaches used to build recommender systems, recommender system classification hierarchies as well as comparative interpretation among them.


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