Mobilook - Cellphone news, guides and reviews Mobilook - Cellphone news, guides and reviews

Carriers & Plans
• Guides
• Reviews
• Best Buys
• Service Providers
 
Handsets & Devices
• Guides
• Reviews
• Best Buys
• Manufacturers
 
Personalize Your Phone
• Guides
• Best Buys
• Ringtones, Images & More
 
FREE Ringtones
 
FREE Picture Messages
 
FREE Wallpapers
 
Mobile Games
• Guides
• Reviews
• Game Providers
 
Accessories
• Guides
• Best Buys
• Vendors
 
Mobile Content
• Guides
• Dating, Sports, Entertainment & Other Content Providers
 
E-mail & Messaging
• Guides
• Service Providers
 
Safety & Security
 
Cellphone News
• Carrier News
• Industry News
• iPhone News
 
Guides, Advice & Tips
Site Map
About Us
Home
 

Netflix offers $1-Million Prize for Improved Movie Recommendation System

Oct 2, 2006

SAN FRANCISCO (AP) -- Online DVD rental pioneer Netflix Inc. wants recommendations on how to improve its movie recommendation system, and is dangling a $1 million reward as an incentive.

The prize, offered in a contest beginning Monday, is part of Netflix's effort to sharpen its competitive edge as it continues a bitter duel with Blockbuster Inc. and prepares for an anticipated onslaught of services that make it easier to download movies onto computer hard drives.

By spurring engineers to develop a better way to decipher consumer tastes, Netflix is betting its market-leading DVD service will become more useful to its 5.2 million subscribers and attract new customers.

To win the prize, a software program must improve the accuracy of Netflix's current movie recommendation system by at least 10 percent. The differences will be tracked by a program that quantifies how well the recommendation systems predict which movies will be liked or disliked by a profiled consumer.

"Right now, we're driving the Model T version of what is possible," said Netflix CEO Reed Hastings. "We want to build a Ferrari and establishing the Netflix Prize is a first step."

The Netflix system uses those ratings to "predict" how many stars a consumer would assign to each of the 65,000 titles in its library.

The current system comes within one star of accurately predicting a consumer's true feelings about a film, and the company wants to cut that margin by one-quarter of a star, Jim Bennett, vice president of recommendation systems, said.

"If we can guess the really great ones for you and the ones you really abhor ... we can really choose the four- and five-star movies that people want," Bennett said.

Recommendation software is expected to play an increasingly important role in electronic commerce as Internet companies expand their databases of past consumer behavior.

As they stockpile more information about individuals' habits and preferences, online businesses theoretically will be able to make more money by anticipating what consumers want before they even realize it.

To fuel the contest, Netflix is releasing 100 million movie ratings pulled from about 500,000 of its current and past subscribers, said Bennett. He said all personal information has been removed from the data.

If there is no winner, the company will pay $50,000 annually to a contest entrant who makes the most progress toward the final goal.

Entertainment industry analyst Dennis McAlpine doubts Netflix is going to get much bang for its buck.

"I'm a little surprised because their current system already works so well and the (customer) satisfaction level is pretty high," he said. "This looks like a marketing gimmick."


 

Tag This Page:  Digg  Del.icio.us  Reddit

Need More Information? Search the whole Web or just the Mobilook site here:

Google
 
Web Mobilook

Top Pages on Mobilook