(mobo import Concept___Event_For_Confident-migrated) |
(mobo import Concept___Events-migrated) |
||
| Line 6: | Line 6: | ||
|Homepage=https://recsys.acm.org/recsys17/ | |Homepage=https://recsys.acm.org/recsys17/ | ||
|City=Como | |City=Como | ||
| − | |Country= | + | |Country=Country:IT |
|Abstract deadline=2017/03/27 | |Abstract deadline=2017/03/27 | ||
|Paper deadline=2017/04/03 | |Paper deadline=2017/04/03 | ||
| Line 22: | Line 22: | ||
|Start Date=2017/08/27 | |Start Date=2017/08/27 | ||
|End Date=2017/08/31 | |End Date=2017/08/31 | ||
| + | |Event Status=as scheduled | ||
| + | |Event Mode=on site | ||
}} | }} | ||
Topics of interest for RecSys 2017 include (but are not limited to): | Topics of interest for RecSys 2017 include (but are not limited to): | ||
Revision as of 14:50, 6 September 2022
Topics of interest for RecSys 2017 include (but are not limited to):
- Algorithm scalability
- Case studies of real-world implementations
- Conversational recommender systems
- Context-aware recommenders
- Evaluation metrics and studies
- Explanations and evidence
- Field and user studies
- Group recommenders
- Innovative/New applications
- Machine learning for recommendation
- Mobile and multi-channel recommendations
- Novel paradigms
- Personalisation
- Preference elicitation
- Privacy and Security
- Recommendation algorithms
- Social recommenders
- Semantic technologies for recommendation
- Trust and reputation
- Theoretical foundations
- User interaction and interfaces
- User modelling
