Hoping to make better content recommendations, Revcontent announced this week it has purchased personalized content recommendation engine Rover.
Deal terms were not made public. The Silicon Valley-based Rover, formerly known as Flipora, employs machine learning to automatically infer a person’s interests, based on observing over a few days what she reads through its engine and what stories show up on that user’s Facebook and Twitter feeds. Revcontent also analyzes a user’s behavior on the page to determine interest and engagement.
Rover founder and CEO Jonathan Siddharth, who is joining the Revcontent team as Senior Vice President of Technology, told me that Rover content recommendation apps have over 40 million registered users, whose profiles are now brought to Revcontent.
Measured against other content categorization engines, he said that Rover’s was “five times more accurate” in choosing categories, even sub-categories, than competitors’.
Barry Levine covers marketing technology for Third Door Media. Previously, he covered this space as a Senior Writer for VentureBeat, and he has written about these and other tech subjects for such publications as CMSWire and NewsFactor. He founded and led the web site/unit at PBS station Thirteen/WNET; worked as an online Senior Producer/writer for Viacom; created a successful interactive game, PLAY IT BY EAR: The First CD Game; founded and led an independent film showcase, CENTER SCREEN, based at Harvard and M.I.T.; and served over five years as a consultant to the M.I.T. Media Lab. You can find him at LinkedIn, and on Twitter at xBarryLevine.