Search Results for author: Paul Covington

Found 4 papers, 3 papers with code

Top-K Off-Policy Correction for a REINFORCE Recommender System

1 code implementation6 Dec 2018 Minmin Chen, Alex Beutel, Paul Covington, Sagar Jain, Francois Belletti, Ed Chi

The contributions of the paper are: (1) scaling REINFORCE to a production recommender system with an action space on the orders of millions; (2) applying off-policy correction to address data biases in learning from logged feedback collected from multiple behavior policies; (3) proposing a novel top-K off-policy correction to account for our policy recommending multiple items at a time; (4) showcasing the value of exploration.

Recommendation Systems

Deep Neural Networks for YouTube Recommendations

5 code implementations7 Sep 2016 Paul Covington, Jay Adams, Emre Sargin

YouTube represents one of the largest scale and most sophisticated industrial recommendation systems in existence.

Information Retrieval Recommendation Systems

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