US researchers have developed an algorithm for dating sites that uses a person's contact history to recommend partners with whom they may be more amorously compatible.
The team, led by assistant professor Kang Zhao, developed a model that combines two factors to recommend contacts: a client's tastes, determined by the types of people he/she has contacted; and attractiveness/unattractiveness , determined by how many of those contacts are returned and how many are not.
Those combinations, Zhao says, do a better job of predicting successful connections , because what people put in their profile may not always be what they're really interested in.
The team, led by assistant professor Kang Zhao, developed a model that combines two factors to recommend contacts: a client's tastes, determined by the types of people he/she has contacted; and attractiveness/unattractiveness , determined by how many of those contacts are returned and how many are not.
Those combinations, Zhao says, do a better job of predicting successful connections , because what people put in their profile may not always be what they're really interested in.
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