September 27 - October 1, 2021
Amsterdam, Netherlands
RecSys 2021

Overview

The ACM Recommender Systems conference (RecSys) is the premier international forum for the presentation of new research results, systems and techniques in the broad field of recommender systems. RecSys brings together the major international research groups working on recommender systems, along with many of the world’s leading companies active in e-commerce and other adjacent domains.

Amazon organizing committee members

Tutorials

Counterfactual Learning and Evaluation for Recommender Systems: Foundations, Implementations, and Recent Advances
September 29
Amazon contributor: Thorsten Joachims (Amazon Scholar)

Website: https://recsys.acm.org/recsys21/tutorials/#content-tab-1-0-tab

Sessions

Learning a Voice-based Conversational Recommender using Offline Policy Optimization
September 29
Amazon organizers: Francois Mairesse, Zhonghao Luo, Tao Ye

Website: https://recsys.acm.org/recsys21/session-6/

Work with us

US, CA, Irvine

Work on a diverse range of products, building real-time, low-latency recommendation and ranking systems as well as building algorithms for understanding customer behavior and generating recommendations content.
US, NY, New York

Create recommendation solutions that understand long-term customer shopping patterns and build on proven reinforcement learning techniques. Push the boundaries on what we can do for the customer.
US, CA, Sunnyvale

Responsible for working across backend, client, business development, and data engineering teams to coordinate deep-dives, inform roadmaps, visualize metrics, and create predictive models to determine how we can best serve our customers.
US, WA, Seattle

Help build the next generation of our model development and assessment pipeline, harness and explain rich data at Amazon scale, and provide automated insights to improve machine learned solution that impact millions of customers every day.