Online dating mining

We all think we know our robots from our humans. Well, sort of. In an effort to see just how impersonal online dating has become, Schuyler Hunt created a fake profile, and then when a woman would message him, he ran all of his responses through Cleverbot , which is essentially artificial intelligence chat software that attempts to mimic or reproduce human conversation. The resulting conversations were, of course, pretty ridiculous. Hunt now has many of the interactions on his Tumblr, Girls Who Date Computers , where he points to how impersonal online dating can be and what this means for our ability to connect authentically these days.
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Data Mining Reveals the Surprising Behavior of Users of Dating Websites

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Romance Scammer Stories: One Online Dating Scam

A typical example of this application is online dating. Most recently, an online dating website, Ashley Madison, was hacked, which results in disclosure of a large number of dating user profiles. This data breach has urged researchers to explore practical privacy protection for user profiles in a social network. In this paper, we propose a privacy-preserving solution for profile matching in social networks by using multiple servers. Our solution is built on homomorphic encryption and allows a user to find out matching users with the help of multiple servers without revealing to anyone the query and the queried user profiles in clear. Our solution achieves user profile privacy and user query privacy as long as at least one of the multiple servers is honest. Our experiments demonstrate that our solution is practical.
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Data mining

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Data mining is the process of discovering patterns in large data sets involving methods at the intersection of machine learning , statistics , and database systems. The term "data mining" is a misnomer , because the goal is the extraction of patterns and knowledge from large amounts of data, not the extraction mining of data itself. The book Data mining: Practical machine learning tools and techniques with Java [8] which covers mostly machine learning material was originally to be named just Practical machine learning , and the term data mining was only added for marketing reasons. The actual data mining task is the semi-automatic or automatic analysis of large quantities of data to extract previously unknown, interesting patterns such as groups of data records cluster analysis , unusual records anomaly detection , and dependencies association rule mining , sequential pattern mining. This usually involves using database techniques such as spatial indices.
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