Recommender Systems and Deep Models

In this talk, I will present an overview of recommender systems, including traditional content based and collaborative filtering. I will also touch upon some current trends and breakthroughs in this area. I will then provide an overview of how we develop recommendations here at Etsy. Specifically, I will provide an overview of our journey from linear ranking models to a non- linear deep neural network ranking model, the challenges we faced and the lessons we learnt. I also plan to present our work on a novel custom objective function to build a recommendation model that jointly optimizes both relevance and profit.
Moumita Bhattacharya

=Senior Data Scientist at Etsy, a two-sided marketplace for buyers and sellers. At Etsy, Moumita is the tech lead of a team that develops recommendation systems to show relevant items to Etsy users. Moumita has a PhD in Computer Science with a focus on Machine Learning and its applications in disease prediction and patient risk stratification.
  • Date: Jul 16, 18:00 (US Pacific Time)
  • Fee: Free
  • Available Seats: 41 (max 300)
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