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.
About Shelly Palmer
Shelly Palmer is the Professor of Advanced Media in Residence at Syracuse University’s S.I. Newhouse School of Public Communications and CEO of The Palmer Group, a consulting practice that helps Fortune 500 companies with AI strategy, implementation and governance, as well as technology, media and marketing. Named one of LinkedIn’s Top Voices in Technology, he is a bestselling author, covers tech and business for Fox 5’s Good Day New York, is a regular commentator on CNN, and writes the popular daily business blog Think About This. Follow @shellypalmer or visit shellypalmer.com.