Online Reciprocal Recommendation with Theoretical Performance Guarantees

NeurIPS 2018 Fabio VitaleNikos ParotsidisClaudio Gentile

A reciprocal recommendation problem is one where the goal of learning is not just to predict a user's preference towards a passive item (e.g., a book), but to recommend the targeted user on one side another user from the other side such that a mutual interest between the two exists. The problem thus is sharply different from the more traditional items-to-users recommendation, since a good match requires meeting the preferences of both users... (read more)

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