[CFP] GENNEXT@SIGIR 2025 – Next-Generation IR & Recommender Systems with Language Agents, Conversational AI, and Large Language Models

[Scott Sanner]

Dear Colleagues,

We are very pleased to announce GENNEXT@SIGIR 2025, the 1st Workshop on the Next Generation of IR and Recommender Systems with Language Agents, Generative Models, and Conversational AI. This workshop is with Spotify and Amazon Research and Academia and is conducted in conjunction with the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR2025), July 13-18, 2025.

Workshop Scope

The rapid growth of large language models (LLMs) and agentic tool usage are clearly impacting how we approach Information Retrieval (IR) and Recommender Systems (RS). GENNEXT@SIGIR 2025 aims to foster discussion on:

• Agentic Tool Usage: Empowering next-generation agents to utilize external knowledge bases, retrieval models, and recommendation engines.
• Generative Content Creation: Exploring creative item generation and retrieval-plus-generation frameworks.
• Conversational AI: Designing multi-turn dialogue systems, improving user modeling, and addressing preference elicitation.
• Ethical and Practical Challenges: Managing hallucination, bias, privacy, and fairness in generative models.
• Evaluation Metrics and Benchmarks: Proposing new methods to assess both recommendation relevance and generative quality.

Please note that GENNEXT@SIGIR 2025 is an extension of our successful ROEGEN@RecSys2024 workshop (https://roegen-recsys2024.github.io/), recently held in Bari, Italy. While GENNEXT places greater emphasis on emerging topics—such as advanced language agents, generative content creation, and agentic tool usage—we warmly welcome submissions addressing all aspects related to Generative AI and Large Language Models (LLMs) for recommender systems and information retrieval

Submission Guidelines

• Full Papers: Up to 8 pages (excluding references).
• Short Papers: Up to 4 pages (excluding references).
• Extended Abstracts: 2–3 pages (excluding references).

Submissions must follow the official ACM SIGCONF format and should be anonymized for double-blind peer review. Accepted papers will be published in an open-access venue. Additionally, selected high-quality contributions may be invited for extension and publication in an upcoming ACM Transactions on Recommender Systems (TORS) Special Issue on Generative Models (https://dl.acm.org/pb-assets/static_journal_pages/tors/pdf/TORS-CFP-SI_GenRecSys-1737063510647.pdf).

Important Dates

• Submission Deadline: April 23, 2025 (AOE)
• Notification of Acceptance: May 21, 2025
• Camera-Ready Deadline: June 3, 2025
• Workshop Date: during SIGIR 2025 

Link: https://easychair.org/my/conference?conf=gennextsigir25 

We kindly invite researchers, practitioners, and students working on modern IR and recommender systems to submit their latest findings. For more information, please visit our workshop: https://sigirgennext.github.io/GENNEXT-SIGIR-25/

We look forward to your contributions and hope you will join us in discussing the future of IR and RS with language agents, generative models, and conversational AI.

Best regards,
The GENNEXT@SIGIR 2025 Organizing Committee
Email: gennext_at...@googlegroups.com , deld...@acm.org

Organizers:

Yashar Deldjoo (Polytechnic University of Bari, Italy)

Scott Sanner (University of San Diego, Canada)
Enrico Palumbo (Spotify, Italy)
Hugues Bouchard (Spotify, Spain)
Shuai Zhang (Amazon, USA)
Pablo Castells (Amaozn, Spain)
Julian McAuley (University of San Diego, USA)