Harvard Data Science Review Podcast｜Recommender Systems

 

Recommender Systems: “People who listened to this episode also listened to … “

 

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.

 

源于：

https://hdsr.podbean.com/e/recommender-systems-people-who-listened-to-this-episode-also-listened-to/