Recommender Systems: “People who listened to this episode also listened to ... “
Description
Recommender systems have become omnipresent in our everyday lives exemplified by Netflix telling us what movies to watch, to Amazon suggesting which books we should read, to Instacart promoting specific brands we must buy. We are constantly being influenced and seduced by these algorithms and the humans who designed them. On this month’s HDSR podcast we examine the pros and cons of recommender systems as well as the art, passion, and creativity that can be lost when we rely too heavily on them.
Our expert guests are Dr. Pearl Pu, the leading data scientist on recommender systems and a senior scientist at the Faculty of Information and Communication Sciences at EPFL in Lausanne, Switzerland, and film-maker Brandt Andersen whose most recent film, Refugee about a Syrian doctor’s escape from her war torn country, was short-listed for an Academy Award for Best Live Action Short in 2020.
The upcoming U.S. presidential race arrives at a time when many Americans are grappling with questions about poll accuracy and data reliability. This month, HDSR is joined by journalists Colby Hall and Leland Vittert for an in-depth look at how the media uses data to report and analyze elections...
Published 10/29/24
As September marks the start of the NFL regular season, this month's episode explores how data science and AI are used in professional football to make the sport more entertaining, competitive, and safe. How has the way data is used to enhance the game advanced? What is the most underutilized...
Published 09/27/24