“Diversifying Amazon Recommendations” 2/17/17

Houssam Nassif

“Diversifying Amazon Recommendations” 2/17/17

Dr. Houssam Nassif, machine learning scientist from amazon.com, will be presenting two recently published papers.

1) Diversifying Music Recommendations (ICML’16 Workshop) uses submodular diversity to significantly improve Prime Music App recommendations quality and user engagement.

2) Adaptive, Personalized Diversity for Visual Discovery (RecSys’16 Best Short Paper Award) describes Amazon Stream’s seasonal, personalized and diversified recommendation framework. Amazon Stream (http://www.amazon.com/stream/), a new website for fashion discovery, uses Bayesian regression to score products, balances exploration and exploitation, applies submodularity to diversify recommendations, and learns seasonal and personalized weights to produce the final recommended personalized stream.


Open to UM Faculty/Staff/Students, this is a special edition of the Pizza Seminar Series to be held on Friday 2/17/17, 2:30-3:30 PM, in the Cox Science Building, Room 42, 1301 Memorial Drive, Coral Gables, FL 33146.   This seminar is jointly sponsored by the Department of Computer Science, Neuroscience, and the Center for Computational Science.  No RSVP required.


Pizza Seminar Series Flyer