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Men Are from Mars, Women Are from Venus

Undergraduate Admissions University Crossing SuitePawtucket St. UMassOnline UMass Club UMass System. Contact Directory Alumni MYUML Home Make A Gift Search. Looking for Love Online. News Pressroom Featured Stories In the News Videos Alumni Magazine NewsLine NewsLine Archive Student Newspaper Photo Gallery Today UMass Lowell Tell Us About It Search News Archive. Researchers Develop a Matchmaking Program. Results obtained by researchers mining data from a major online dating service in China may help people find the perfect match.

Finding love over the Internet is a thriving industry here in the U. Online dating services, such as Match. According to a recent survey, 40 million single people out of 54 million in the country have datimg up with various online dating sites, and around 20 percent of currently committed romantic relationships began online.

Liu, along with UMass Lowell computer science Ph. Cindy Chen and Umass lowell dating University Asst. Yizhou Sun, recently used data umass lowell dating Baihe. In China, people also pay attention to their respective astrological animal signs to check for compatibility. When writing the algorithm for online dating, what data is the most useful in predicting a good match? These activities allow us to learn a lot about a user's taste and attractiveness.

Our algorithm takes into account the mutual speed dating ub and attractiveness in both directions. Which is more successful — online dating or meeting people the traditional way, through friends? This is hard for us to gauge because of umasx of data. The problem is that once people meet their partners and umass lowell dating a relationship, they go offline.

Or, if they are not successful in finding a date, dting get frustrated and they also go offline. I believe this trend will continue muass the market will umass lowell dating growing. What prompted you to start on this online-dating research? I always like to have real data for my research. It so happened that one of the founders of Baihe. We analyzed the profiles and behavior ofindividuals who use the site so we can help the company design a better recommendation system.

So far, my colleagues and I have published four papers using the dataset. How can people access your program? Is it an app they can download online? Unfortunately, the algorithm we developed will not be available for download. Quick Links Request Information Apply Check Application Status Visit. Facebook Twitter Youtube Instagram Linkedin snapchat.

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