Clicker Unveils Clicker Predict and Leverages Facebook for Video Recommendations

Clicker has just taken the wraps off a new recommendation engine they call Clicker Predict. The algorithm checks 50 user behavior signals to determines which undiscovered content to present to you. In addition, Clicker has tapped Facebook to help it find even more recommendations by sifting through public data posted by yourself and your friends. Makes sense, right? Everything you and your friends post is of interest to you (well, at least most of the time) so related finds should be relevant. Plus, it makes social sharing a passive thing — interesting concept. I’m guessing recommendations via your Twitter circle is next. Attached below is a demo of the new offering which I hope serves up the same functionality via the site’s HTML5, made-for-TV portal.

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