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Information 2019, 10(2), 42; https://doi.org/10.3390/info10020042

Using Opinion Mining in Context-Aware Recommender Systems: A Systematic Review

1
Institute of Mathematics and Computer Science—University of São Paulo, Avenida Trabalhador São Carlense, 400, São Carlos SP 13566-590, Brazil
2
Department of Informatics—State University of Maringá, Avenida Colombo, 5790, Maringá PR 87020-900, Brazil
3
Federal University of Mato Grosso do Sul—Três Lagoas Campus, Avenida Ranulpho Marques Leal, 3484, P.O. Box 210, Três Lagoas MS 79620-080, Brazil
*
Author to whom correspondence should be addressed.
Received: 14 December 2018 / Revised: 19 January 2019 / Accepted: 22 January 2019 / Published: 28 January 2019
(This article belongs to the Special Issue Modern Recommender Systems: Approaches, Challenges and Applications)
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Abstract

Recommender systems help users by recommending items, such as products and services, that can be of interest to these users. Context-aware recommender systems have been widely investigated in both academia and industry because they can make recommendations based on a user’s current context (e.g., location and time). Moreover, the advent of Web 2.0 and the growing popularity of social and e-commerce media sites have encouraged users to naturally write texts describing their assessment of items. There are increasing efforts to incorporate the rich information embedded in user’s reviews/texts into the recommender systems. Given the importance of this type of texts and their usage along with opinion mining and contextual information extraction techniques for recommender systems, we present a systematic review on the recommender systems that explore both contextual information and opinion mining. This systematic review followed a well-defined protocol. Its results were based on 17 papers, selected among 195 papers identified in four digital libraries. The results of this review give a general summary of the current research on this subject and point out some areas that may be improved in future primary works. View Full-Text
Keywords: recommender systems; context-aware recommender systems; contextual information; opinion mining; systematic review recommender systems; context-aware recommender systems; contextual information; opinion mining; systematic review
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
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Sundermann, C.V.; Domingues, M.A.; Sinoara, R.A.; Marcacini, R.M.; Rezende, S.O. Using Opinion Mining in Context-Aware Recommender Systems: A Systematic Review. Information 2019, 10, 42.

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