Call For Papers

This workshop welcomes submissions from researchers and industrial practitioners broadly related to recommendation systems, such as novel recommendation models, efficient recommendation algorithms, novel industrial frameworks, etc. In order to emphasize the gap between the two communities, we extremely welcome submissions on industrial recommendation system infrastructures based on given resources, models and algorithms supported by the specific infrastructures, and frameworks or end-to-end systems that have been deployed in real world production. All accepted papers will be posted on the workshop website and will not appear in the CIKM proceedings. Selected papers will be presented as contributed talks.

Specific topics of interest are including but not limited to:

1. Frameworks or end-to-end systems from the industry are extremely welcomed.
2. Large language models (LLMs) and Generative models in recommender systems.
3. Scalable Recommender systems.
4. Personalization, including personalized product recommendation, streaming content recommendation, ads recommendation, news and article recommendation, etc.
5. New applications related to recommendation systems.
6. LLM agents for recommendation systems.
7. Existing or novel infrastructures for recommendation systems.
8. Interactive recommendation system with user feedback loop.
9. Explainability of recommendations.
10. Conversational and natural language recommender system.
11. Fairness, privacy and security in recommender systems.
12. Recommendations under multi-objective and constraints.
13. Reproducibility of models and evaluation metrics.
14. Unbiased recommendation.
15. User research studies on real-world recommender systems.
16. Business impact of recommendation systems.