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Technology Review: What's Next for the Netflix Algorithms?
When the Netflix Prize was awarded last month, it ended three years of intense competition aimed at finding a better algorithm for predicting users' movie preferences.In October 2006 online movie rental company Netflix announced a contest called The Netflix Prize ; any team that could beat its in-house recommendation engine by 10% in predicting which movies people would like would win a $1 million prize. It was a huge engineering challenge that more than 50,000 teams of computer scientists signed up to take. Today one team, a combination of four of the front running teams actually, announced that it has built a system that delivers a 10.05% improvement. If that team withstands the month long period of scrutiny that begins now, it will not only mean fame and (some) fortune for them and a big boost for Netflix - it could signal a key turning point for recommendation technology on the web.
They Did It! One Team Reports Success in the $1m Netflix Prize
For Brevity's Sake: NextStop, Twitter for Activities Launch
Created by former Google employees Carl Sjorgreen and Adrian Graham, privately funded San Francisco-based Nextstop launched this morning to help thrill seekers, tourists and foodies find the concise recommendations they need to plan their daily excursions. At first glance, Nextstop may appear like an amalgamation of crowd-sourced review site Yelp , Yahoo's event site Upcoming and travel listing site Dopplr ; however, the site has two major differences - recommendations are positive and can only contain a maximum of 160 characters. Nextstop hopes to remove the presence of rants and emotional weather reports from the discovery process.