RecSys 2019: Copenhagen, Denmark

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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


Workshops, challenge, and late-breaking results


Doctoral symposium