Discovering Contextual Information from User Reviews for Recommendation Purposes
نویسندگان
چکیده
The paper presents a new method of systematically discovering relevant contextual information from the user-generated reviews and, therefore, converting the latent contextual information into the explicit representational view in order to provide better recommendations to the users when the reviews complement traditional ratings used in recommender systems. In particular, we classify all the user reviews into the “context rich” specific and “context poor” generic reviews and present a phrase-based and an LDAbased methods of extracting contextual information from the specific reviews. We also show empirically on the Yelp data that, these two methods extract almost all the relevant contextual information from the reviews across three different applications.
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