Netflix’s algorithms for recommending movies to customers might not be perfect, but it isn’t for lack of trying. As Netflix Senior Data Scientist Mohammad Sabah described at the Hadoop Summit on Wednesday, the company is capturing and analyzing an incredible amount of data to try and figure out what you want to watch next. It’s important work: already, Sabah said, 75 percent of users select movies based on the company’s recommendations, and Netflix wants to make that number even higher. Read the full story at GigaOM.
Netflix analyzes a lot of data about your viewing habits
Author: Shelly Palmer
Shelly Palmer is Fox 5 New York's On-air Tech Expert (WNYW-TV) and the host of Fox Television's monthly show Shelly Palmer Digital Living. He also hosts United Stations Radio Network's, Shelly Palmer Digital Living Daily, a daily syndicated radio report that features insightful commentary and a unique insiders take on the biggest stories in technology, media, and entertainment. He is Managing Director of Advanced Media Ventures Group, LLC an industry-leading advisory and business development firm and a member of the Executive Committee of the National Academy of Television Arts & Sciences (the organization that bestows the coveted Emmy® Awards).