Rio de Janeiro
September 22 - 26, 2020
Rio de Janeiro, Brazil
Conferences & Events
RecSys 2020

Overview

Note: RecSys 2020 will be a virtual event.

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. Recommendation is a particular form of information filtering, that exploits past behaviors and user similarities to generate a list of information items that is personally tailored to an end-user’s preferences. Amazon is proud to be a Platinum sponsor of RecSys.

Conference Website

Organizing Committee

  • TaoProfessionalPhoto.jpg
    Tao Ye
    Senior Applied Science Manager
    Sponsor co-chair and senior program committee member
  • Chenwei_Zhang.jpg
    Chenwei Zhang
    Applied Scientist
    Program committee member
  • max_harper.jpg
    Max Harper
    Applied Scientist
    Program committee member

Workshops & Tutorials

Industry Talk: Behavior-based Popularity Ranking on Amazon Video

Lakshmi Ramachandran

Workshop on Bandit and Reinforcement Learning from User Interactions

Saturday, September 26
Thorsten Joachims, Amazon Scholar: Organizer

Connect with us at RecSys

Amazon’s research teams are looking forward to meeting you. If you would like to schedule a conversation with one of our scientists or recruiters, please contact recsysconf@amazon.com.

While you wait: Are you ready for your next opportunity? Check out our open positions below. We have global opportunities available.

Work with us

  • Applied Scientist - Alexa Shopping
    Seattle, WA, US
    As an applied scientist in Alexa Shopping, you will be responsible for the research, design and development of new natural language, search, and machine learning technologies for voice shopping. You will be working with top scientists and engineers, as well as with product teams and other research partners, both locally...
    Read More
  • Senior Applied Scientist
    Seattle, WA, US
    As an applied scientist, you will be using Amazon’s large-scale computing resources to build models describing best suited recommendations and work with domain experts and engineers to turn those models into production solutions. You will participate in the Amazon ML community and mentor Applied Scientists and software development engineers with a strong interest in and knowledge of ML...
    Read More
  • Applied Scientist II
    Seattle, WA, US
    The High Value Message (HVM) Analytics team within CBA is looking for an Applied Scientist to make an impact on how Amazon influences our shopper's perception. You will work with distributed machine learning and statistical algorithms across multiple platforms to harness enormous volumes of online data at scale to match customers and products/offers based on probabilistic...
    Read More
  • Applied Scientist
    Seattle, WA, US
    In this role you will be focused on improving the search results for hundreds of millions of Amazon.com customers around the world. Along with your teammates, you will constantly strive to improve search results and relevance ranking across all Amazon categories. You will invent universally applicable signals and algorithms for training machine-learned ranking models and...
    Read More
Follow Us
Amazon.com | Conditions of Use | Privacy | © 1996-2020 Amazon.com, Inc. or its affiliates