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This study about dating behavior uses data from a Speed Dating experiment where researchers generated random matching of subjects and created random variation in the number of potential partners.Its design allowed to directly observe individual decisions rather than just final matches.This is the first in-depth study of information retrieval approaches applied to match-making systems such as a dating service.The authors of this paper propose a machine learned ranking function that makes use of features extracted from the uniquely rich user profiles that consist of both structured and unstructured attributes.

Moreover, men do not value women's intelligence or ambition when it exceeds their own...Online dating communities are a growing industry tailored specifically to users who are looking for a romantic partner, connection, or encounter.This paper focus on an area with a surprising lack of published work: matchmaking as a typical application for recommender systems.Dating agency members (second group) completed similar questionnaires examining partner preferences.Again, here preferences were similar across the sexes, although men preferred a submissive and introverted woman and stressed the importance of physical appearance in a mate.

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