SAREC is targeted at bridging the gap between industry and academia in recommendation systems research. It is a platform for the discussion of the state-of-the-art as well as trends in recommendation system technology. The workshop welcomes contributions of innovative prototypes, experimentation, and real-world implementations from both academia and industry. Topics of interest include but are not limited to the following:

Recommendation algorithms.
Large-scale and distributed computation for recommendation system.
Context-aware recommendation system.
Explainable recommendations.
Session-based recommendations.
User segmentation and personalized recommendations.
Deep learning applications in recommendation system.
System and architecture design for recommenders.
Evaluation methods and metrics.
Open-source tools and packages for recommendation system.