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Recommendation Engines and Privacy

Recommendation Engines and Privacy

This episode started out as a discussion of recom…

Linear Digressions

March 28, 201631m 33s

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Show Notes

This episode started out as a discussion of recommendation engines, like Netflix uses to suggest movies. There's still a lot of that in here. But a related topic, which is both interesting and important, is how to keep data private in the era of large-scale recommendation engines--what mistakes have been made surrounding supposedly anonymized data, how data ends up de-anonymized, and why it matters for you. Relevant links: http://www.netflixprize.com/ http://bits.blogs.nytimes.com/2010/03/12/netflix-cancels-contest-plans-and-settles-suit/?_r=0 http://arxiv.org/PS_cache/cs/pdf/0610/0610105v2.pdf

Topics

datasciencemachinelearninglineardigressions