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People in Silicon Valley have been using matrix factorization for the same or similar tasks (like predicting behavior, making recommendations, and categorizing
by cs702 10y ago
People in Silicon Valley have been using matrix factorization for the same or similar tasks (like predicting behavior, making recommendations, and categorizing users) for ages.[0] I updated my comment to mention this.
[0] For example, the Netflix $1 million competition in 2007 was won by a team that used an ensemble of methods, including a form of matrix factorization, to predict which movies people would like: http://www.netflixprize.com/assets/ProgressPrize2007_KorBell.pdf http://www.netflixprize.com/assets/ProgressPrize2007_KorBell... -- and using matrix factorization wasn't a new idea back then either.
- optimuspaul 10y agoAgain, not the methodology that is groundbreaking, but the findings, right? Even still why dismiss because you disagree with adjective used?
- nostrademons 10y agoThe big Silicon Valley tech companies (Google, Facebook, Amazon, etc.) have been using similar mechanisms for at least a decade to predict which ads people will click on and increase their likelihood of doing so. You can actually see what Facebook has predicted you're most interested in, based on their like/click/commenting/view behavior: https://www.facebook.com/ads/preferences/edit/ https://www.facebook.com/ads/preferences/edit/ This is the first reported case of these techniques being used to influence an election, but that doesn't mean it's the first time it was used to influence an election. It's very likely that Obama's campaign used similar techniques, considering it was staffed by Google/Facebook/Twitter data scientists who were certainly familiar with these techniques. It just appears in the press now because the Trump campaign & administration leaks like a sieve.