Full Research Papers
Submissions follow the same Call-for-Paper as the CIKM main conference and use the ACM Proceedings template in double-column format.
NLP/CORE Unranked
EARL 2026
EARL: The 3rd Workshop on Evaluating and Applying Recommender Systems with Large Language Models
EARL 2026 is the third workshop focused on evaluating and applying large language models (LLMs) in recommender systems, co-located with CIKM 2026 in Rome, Italy. It brings together researchers and practitioners to discuss evaluation, reproducibility, deployment, and responsible integration of LLM-enhanced recommender systems, with an emphasis on connecting recommendation to core CIKM themes like information retrieval, user modeling, and responsible AI.
Paper fit
Contribution paths
A strong submission should clearly identify its contribution and evaluate it appropriately.
Short Research Papers
Submissions follow the same Call-for-Paper as the CIKM main conference and use the ACM Proceedings template in double-column format.
Research areas in scope
01
Topics of Interest
Retrieval-augmented and knowledge-grounded recommendationConversational, interactive, and agent-based recommendationMultimodal recommendation powered by LLMsEfficient and scalable deployment of LLM-enhanced recommender systemsEvaluation, reproducibility, and methodological soundnessReal-world applications and deployment experiencesPersonalization, user modeling, and recommendation across domainsFairness, safety, privacy, transparency, explainability, and responsible AI
Policies worth checking twice
- Submissions undergo double-blind peer review
- Each submission is evaluated by at least three reviewers
- All accepted papers will be non-archival
- Submissions must use the ACM Proceedings template in double-column format
- We particularly welcome contributions from early-career researchers and students
Official sources
Compiled from the official call for papers. The organizers’ pages remain authoritative.
Last verified September 9, 2026