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    Learning user preferences in online dating

    The data scientists at dating sites work hard to find the right techniques and algorithms to predict a mutual match.

    learning user preferences in online dating-75learning user preferences in online dating-52

    Design thinking involves understanding your customers as people who need your help and creating empathy around their needs, hopes, fears—and the root cause of the challenges they face when dealing with a particular problem.

    The Synapse algorithm is based on the stable marriage problem solved by the Gale–Shapley algorithm.

    This is the same algorithm that is used every day in other industries for things like content recommendations, high volume financial trading, ad placements, and web rankings on sites like Twitter, Reddit, and Google.

    Tools like IBM’s Pure Data System allow e Harmony to analyze patterns in petabytes of data and help them to complete approximately 3.5 million matches every day.

    Many dating sites have learned how to manage large data sets from Google, and deliver quick results using indexing and distributed processing.

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