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UI Researchers: Netflix-Style Tracking Can Increase Online Dating Success

Online daters looking for a virtual love connection can look no further than Netflix's recommendations feature.

University of Iowa researchers say the algorithm that gives viewers suggestions on the popular movie site could help them find a potential mate online.

Assistant professor Kang Zhao and student Xi Wang have created a model that would use someone's contact history to recommend more compatible partners, according to a news release. Netflix recommends movies to users based upon viewing history.

The conclusion came after a study used data from 47,000 users of an undisclosed popular dating website to seek a better solution.

"Your actions reflect your taste and attractiveness in a way that could be more accurate than what you include in your profile," Zhao said.

The new approach takes into account what a user does, which Zhao says is not always the same as what a person puts on his or her personal profile.

For the complete study, which was coauthored by Mo Yu of Penn State University and Bo Gao of Beijing Jiaotong University, see below. To see the complete news release, visit the University of Iowa's news website.

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