RecSys 2019: Copenhagen, Denmark

Invited keynotes

Ranking and deep learning in recommenders

User side of recommender systems

Deep learning for recommender systems

Recommendation in advertising, promotions, intent and search

Application of recommenders in personal needs

Algorithms: Large-scale, constraints and evaluation

Using side-information and user attributes and cold-start in recommender algorithms

Short papers with poster presentation

Novel uses of recommenders

Novel approaches to recommenders

Demonstrations

Workshops, challenge, and late-breaking results

Tutorials

Doctoral symposium

a service of Schloss Dagstuhl - Leibniz Center for Informatics