Using contextual information inside recommendation systems is an effective approach to generate more accurate recommendations. This paper present a review conducted to identify what user's and context's information it's considered relevant by researchers to generate contextual recommendations from 2012 to 2015, based on Kitchen-ham systematic literature review methodology. The results indicated that there is a large set of possible user's and context's information that can be used to do recommendations. This review can be taken as basis for future context-aware recommender systems development, as well as development of contextual user models.
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