Combining text summarization and aspect-based sentiment analysis of users' reviews to justify recommendations
Proceedings of the 13th ACM Conference on Recommender Systems, pp. 383-387, 2019.
explanation recommender systems sentiment analysis text summarization
In this paper we present a methodology to justify recommendations that relies on the information extracted from users' reviews discussing the available items. The intuition behind the approach is to conceive the justification as a summary of the most relevant and distinguishing aspects of the item, automatically obtained by analyzing its ...More
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