Blog Recommendation Startup Outbrain Raises $5 Million
Outbrain is creating a ratings and recommendation platform for blogs and news feeds. So far it has developed a rating widget that can be placed at the end of every blog post or news feed item so that readers can rate each one. Outbrain wants to use these widgets to create a cross-blog/news recommendation system using collaborative filtering techniques similar to what you find on Amazon.com for products. “Readers like you also liked:” X. Nobody has to register. Outbrain makes its inferences anonymously based on cookies. Explains Galai:
With every rating that’s cast to our system, we constantly tweak the ‘closeness’ of each reader to all other readers who ever rated anything. We then give your like-minded readers a higher weight when making recommendations for you. So the more items you rate (and rate honestly), the better your personalized recommendations should get.
This is in contrast to the folks that do ‘related articles’ functionality which is based purely on the content of the post. Those by definition are one-size-fits-all recommendations which we do not believe are very effective. So while others try to target recommendations that are relevant to the content, we are trying to target recommendations that are relevant to the readers.
Outbrain’s widget can be installed on most blogging and RSS platforms, including Blogger.com, TypePad, WordPress.org, Drupal, FeedFlare, and MoveableType. Bloggers can grab it here. It competes with other rating and recommendation widgets out there, including JS-Kit’s rating widget and Criteo’s Autoroll widget that creates reader-centric blogrolls.