Harnessing distributional semantics to build context-aware justifications for recommender systems
Cataldo Musto,
Giuseppe Spillo,
Giovanni Semeraro
Abstract:This paper introduces a methodology to generate review-based natural language justifications supporting personalized suggestions returned by a recommender system. The hallmark of our strategy lies in the fact that natural language justifications are adapted to the different contextual situations in which the items will be consumed. In particular, our strategy relies on the following intuition: Just like the selection of the most suitable item is influenced by the contexts of usage, a justification that support… Show more
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