
Sign up to save your podcasts
Or


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.
By Harvard Data Science Review4.3
2626 ratings
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.

4,185 Listeners

1,720 Listeners

4,356 Listeners

1,640 Listeners

178 Listeners

304 Listeners

341 Listeners

268 Listeners

213 Listeners

1,080 Listeners

2,109 Listeners

667 Listeners

589 Listeners

75 Listeners

162 Listeners