Wednesday 29th February, 2012
4:00pm to 4:40pm
Netflix is known for pushing the envelope of recommendation technologies. In particular, the Netflix Prize put a focus on using explicit user feedback to predict ratings. This kind of recommendation showed its value in the time when Netflix’s business was primarily mailing DVDs. Nowadays Netflix has moved into the streaming world and this has spurred numerous changes in the way people use the service. The service is now available on dozens of devices and more than 40 countries.
Instead of spending time deciding what to add to a DVD queue to watch later, people now access the service and watch whatever appeals to them at that moment. Also, Netflix now has richer contextual information such as the time and day when people are watching content, or the device they are using.
In this talk I will describe some of the ways we use implicit and contextualized information to create a personalized experience for Netflix users.
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