(mobo import Concept___Event_For_Confident-migrated) |
(mobo import Concept___Events-migrated) |
||
| Line 6: | Line 6: | ||
|Homepage=https://recsys.acm.org/recsys19/ | |Homepage=https://recsys.acm.org/recsys19/ | ||
|City=Copenhagen | |City=Copenhagen | ||
| − | |Country= | + | |Country=Country:DK |
|Abstract deadline=2019/04/15 | |Abstract deadline=2019/04/15 | ||
|Paper deadline=2019/04/23 | |Paper deadline=2019/04/23 | ||
| Line 21: | Line 21: | ||
|Start Date=2019/09/16 | |Start Date=2019/09/16 | ||
|End Date=2019/09/20 | |End Date=2019/09/20 | ||
| + | |Event Status=as scheduled | ||
| + | |Event Mode=on site | ||
}} | }} | ||
Topics of interest for RecSys 2019 include but are not limited to (alphabetically ordered | Topics of interest for RecSys 2019 include but are not limited to (alphabetically ordered | ||
Revision as of 14:50, 6 September 2022
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
