Difference between revisions of "RecSys 2019"
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|Title=13th ACM Conference on Recommender Systems | |Title=13th ACM Conference on Recommender Systems | ||
|Series=RecSys | |Series=RecSys | ||
| − | | | + | |Event type=Conference |
|Start date=2019/09/16 | |Start date=2019/09/16 | ||
|End date=2019/09/20 | |End date=2019/09/20 | ||
Latest revision as of 11:17, 8 March 2021
| RecSys 2019 | |
|---|---|
13th ACM Conference on Recommender Systems
| |
| Event in series | RecSys |
| Dates | 2019/09/16 (iCal) - 2019/09/20 |
| Homepage: | https://recsys.acm.org/recsys19/ |
| Location | |
| Location: | Copenhagen, Denmark |
| Important dates | |
| Abstracts: | 2019/04/15 |
| Papers: | 2019/04/23 |
| Submissions: | 2019/04/23 |
| Camera ready due: | 2019/07/22 |
| Papers: | Submitted 354 / Accepted 76 (21.5 %) |
| Committees | |
| General chairs: | Toine Bogers, Alain Said |
| PC chairs: | Domonkos Tikk, Peter Brusilovsky |
| Table of Contents | |
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Topics of interest for RecSys 2019 include but are not limited to (alphabetically ordered
- Algorithm scalability, performance, and implementations
- Bias, bubbles and ethics of recommender systems
- Case studies of real-world implementations
- Context-aware recommender systems
- Conversational recommender systems
- Cross-domain recommendation
- Economic models and consequences of recommender systems
- Evaluation metrics and studies
- Explanations and evidence
- Innovative/New applications
- Interfaces for recommender systems
- Novel machine learning approaches to recommendation algorithms (deep learning, reinforcement learning, etc.)
- Preference elicitation
- Privacy and Security
- Social recommenders
- User modelling
- Voice, VR, and other novel interaction paradigms