If you have seen the Netflix movie recommendations and wondered what it took to make it happen or maybe participated in the Netflix Prize, this Gigaom article discusses how Netflix spends $150 million on content recommendations every year.
Tag Archives: recommendations
Overstock.com and Rich Relevance offer $1M
Overstock.com has partnered with Rich Relevance to offer a $1 million prize for those that can help improve their product recommendations. Here’s the Fast Company article. To find out more about the contest, check out the RecLab Prize site.
A new recommendation service – Inveni
Instead of each site you visit having its own recommendation algorithms, Inveni has come up with a different approach. They allow you to create an Inveni profile and then share it with sites and advertisers as you like. They are starting with movie and tv recommendations
Here is the Techcrunch article and a video.
A “Hunch” about what you like
Recommendation engine, Hutch, has launched a new Facebook service to demonstrate the accuracy of their recommendations. Play the Predict-O-Matic game on Facebook or check out the article on Techcrunch.
Twitter starts using algorithms for social graph
Amazon has been recommending products based on past purchase and browse data for some time. More recently, Facebook has been suggesting users who you may want to add as friends. Now twitter is adding a suggestions for you feature based on the people you follow. A few more details from Techcrunch.