![Linear Digressions artwork](https://is3-ssl.mzstatic.com/image/thumb/Podcasts113/v4/4d/ca/f2/4dcaf27f-1f74-9477-477b-f7aaecb6d843/mza_1113917496893811473.jpg/100x100bb.jpg)
Recommendation Engines and Privacy
Linear Digressions
English - March 28, 2016 02:46 - 31 minutes - 43.3 MB - ★★★★★ - 350 ratingsTechnology data science machine learning linear digressions Homepage Download Apple Podcasts Google Podcasts Overcast Castro Pocket Casts RSS feed
Previous Episode: Neural nets play cops and robbers (AKA generative adverserial networks)
Next Episode: Discriminatory Algorithms
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