Online television guide Clicker has introduced its own recommendation engine called Clicker Predict, along with Facebook integration.

Clicker Predict considers more than 50 factors when making entertainment recommendation for users. These factors are updated as a person searches for, rates, discusses, saves, shares and views online programming.

Clicker has also integrated Facebook likes and interests into Clicker Predict. When a user visits Clicker while logged into Facebook, a personalized view of TV and movies will be displayed, along with suggestions based on what the person and their friends have liked on Facebook and on other sites.

“With more than 1 million shows and movies now available online, there is huge need for intelligent, personalized entertainment recommendations,” said Jim Lanzone, Clicker’s co-founder and CEO. 

“While companies big and small have been trying to solve this problem for years, Clicker Predict comes closer than any technology to date in actually surfacing the right shows for a given user. Add in feedback from your friends, thanks to our new integration with Facebook, and there is simply no better place to discover what to watch than Clicker.com."