Important Dates:

• Submission Portal Opens: September 22, 2023 

  • • 1. 1. • Submission URL

• Submission Deadline: Friday, December 1st, 2023 (AOE) (Previously Monday, November 20, 2023)

• Author Notification Deadline: Monday, December 11, 2023

• Camera-ready deadline: Thursday, February 1, 2024

• Workshop Date & Location: Monday, February 26 at the Vancouver Convention Centre

Call for Papers:

The workshop centers on the multi-faceted landscape of Recommender Ecosystems (RESs), which couple the behaviors of users, content providers, vendors, and advertisers to determine the long-term behavior of the platform. While prevalent in numerous online products, the modeling, learning, and optimization technologies traditionally used in recommenders prioritize interactions with a single user. Recent research has delved into multi-agent dynamics and economic interactions within RESs, encompassing areas like fairness, popularity bias, market design, social dynamics, and more. Despite its significance, this research remains fragmented across various academic domains. This workshop aspires to bridge these communities, emphasizing the convergence of diverse topics like game-theoretic models, AI techniques, and social dynamics to holistically comprehend RES ecosystems. By fostering interdisciplinary dialogue, the workshop aims to spotlight the complexities of RESs, engendering fresh insights and solutions. 

Topics of interest include, but are not limited to:

• Game-theoretic models and mechanism design in recommender systems 

• State of the art techniques, like generative models or reinforcement learning, for promoting the health and diversity of recommender ecosystems.

• Social dynamics, filter bubbles, and polarization in recommender systems 

• Fairness and bias in recommender systems.

• Multi-stakeholder recommendation, including users, businesses, and advertisers 

• Understanding user/creator/vendor behavior and incentives in recommender ecosystems, and their interactions.

• Interdisciplinary approaches to the study of agent interactions in recommender systems (e.g., incorporating behavioral psychology, sociology, and economics insights).

Submission Instructions:

Submissions should be no more than 4 (four) pages long, excluding references, and follow AAAI'24 template. Submissions are double-blind (author identity shall not be revealed to the reviewers), so the submitted PDF file should not include any identifiable information of authors. An optional appendix of any length is allowed and should be put at the end of the paper (after references).

Submissions are collected on OpenReview at the following link: https://openreview.net/group?id=AAAI.org/2024/Workshop/EcoSys. Due to the short timeline, we will not have a rebuttal period, but the authors are encouraged to interact and discuss with reviewers on OpenReview after the acceptance notifications are sent out. Rejected papers and their reviews will remain private and not posted in public.

For questions, please contact: guytenn [at] google.com

Proceedings and Dual Submission Policy:

Our workshop does not have formal proceedings, i.e., it is non-archival. Accepted papers will be available in public on OpenReview. Revisions to accepted papers will be allowed until shortly before the workshop date. We welcome submissions of unpublished papers, including those that are submitted to other venues if that other venue allows so. We allow papers that have been recently accepted to another venue. Specifically, papers that have been accepted to NeurIPS'23 main conference can be resubmitted to this workshop.

Organizing Committee