Singapore
RecSys 2023
September 18 - 22, 2023
Singapore

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.

Sponsorship Details

Amazon organizing committee members

Workshops

RecSys 2023 Industry Talk
September 17
RecSys 2023 Workshop on Responsible Recommendation
September 18
RecSys 2023 Workshop on Context-Aware Recommender Systems
September 18
RecSys 2023 Workshop on MuRS: Music Recommender Systems
September 19
The workshop aims at bridging the existing gap between the diverse research communities focused on challenges specific to music recommender systems. The workshop will provide a space for researchers and practitioners from multiple disciplines, from both academia and industry, to exchange perspectives and to promote discussion on future research directions in the area of music recommender systems.

Amazon organizer: Tao Ye

Website: https://sites.google.com/view/murs
RecSys 2023 Workshop on Causality, Counterfactuals & Sequential Decision-Making (CONSEQUENCES)
September 19
RecSys 2023 Workshop on Recommender Systems in Fashion
September 18
RecSys 2023 Workshop on Learning and Evaluating Recommendations with Impressions (LERI 2023)
September 19
The Workshop on Learning and Evaluating Recommendations with Impressions (LERI 2023) will focus on all aspects related to leveraging impression data to build and evaluate a recommendation engine. Impressions refer to the items displayed on the screen when a user interacts (or not) with the system and are the product of the whole recommendation engine, as such, impressions constitute a nuanced data source that raises novel research questions, opportunities, and challenges. These may have profound implications for how recommender systems are conceptualized, trained, and evaluated. The goal of LERI 2023 is to both help to coalesce researchers exploring the use of impressions from different perspectives, as well as foster increased interest from the community for this important and underexplored topic.

Amazon organizer: Pablo Castells

Website: https://recsyspolimi.github.io/leri2023/

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