The MovieLens datasets, first released in 1998, describe people’s expressed preferences for movies. These preferences take the form of tuples, each the result of a person expressing a preference (a 0-5 star rating) for a movie at a particular time. These preferences were entered by way of the MovieLens web site1 — a recommender system that asks its users to give movie ratings in order to receive personalized movie recommendations.
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Dataset of restaurant reviews from TripAdvisor that includes images and texts uploaded in reviews by users. Reviews in six different cities are included: Gijón (Spain), Barcelona (Spain), Madrid (Spain), New York City (USA), Paris (France) and London (United Kingdom). In the original publication, the following task is proposed: Can we explain, using the existing image or text from a different user, why a given restaurant was recommended to a certain user?
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