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movie-recommendations posts

Filed under: Internet, Video, Web services, Social Software, Web

Movie recommendation service Jinni launches public beta

Jinni
Jinni is a movie recommendation engine that helps you find films based on a number of factors. You can sort by genre, plot, mood, time/period, target audience or other factors. Probably the coolest feature is the "more like it" function which helps you find movies that you'd probably like based on the movie you're currently looking at. It's kind of like Netflix recommendations without that whole Netflix movie rental part.

Last time we checked out Jinni, the service was still in private beta. The Jinni team recently removed the "private" portion and launched a public beta. That means anyone can use Jinni without registering or signing in. Registered users do get a couple of perks like he ability to add titles to your favorites or wish list, create profiles, and connect with other users. You can also view your "movie personality" based on your preferences.

Users can also share their Jinni actions on Facebook and Twitter. Jinni isn't an online video site that lets you watch videos. Rather, once you find titles you like, Jinni directs you to sources where you can purchase or view the films including Netflix, Amazon, and Jaman.

Filed under: Internet, News

Netflix is preparing another bounty for better movie recommendations

Netflix PrizeFor the past few years Netflix has been dangling a $1 million prize in front of geeks willing to attempt to come up with a better movie recommendation algorithm than the one Netflix was using. The goal was to improve the Netflix recommendations by 10%. Last month, two teams topped the 10% mark, and it's likely that one of them will win the prize.

In the meantime, Netflix is already looking ahead. In a blog post, Netflix Chief Product Officer Neil Hunt says the winner of the $1 million prize will be announced in September, and that Netflix is planning a sequel.

There's no word on how much money Netflix will offer this time around, but the company is putting time limits on the contests this time. Instead of competing to improve the accuracy of Netflix recommendations by a certain percentage, Netflix will offer prizes to the teams with the best results after 6 months and 18 months.

[via CNET]

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