Recommender systems have changed its purview from prediction accuracy oriented to finding more relevant and useful recommendations to user. “Usefulness” of items are different in different applications. This paper summarizes the works that have been done in this direction. Personalization, context awareness, multiple objectives of recommendations and evaluation metrics are reviewed in this paper. © 2018, Springer International Publishing AG.
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M. Sruthi, Pulari, S. R., and Gowtham, R., “Comprehensive study on usage of multi objectives in recommender systems”, Lecture Notes in Computational Vision and Biomechanics, vol. 28, pp. 55-67, 2018.