Difference between revisions of "RecSys 2017"
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{{Event | {{Event | ||
| + | |Acronym=RecSys 2017 | ||
| + | |Title=11th ACM Conference on Recommender Systems | ||
| + | |Series=RecSys | ||
| + | |Type=Conference | ||
| + | |Start date=2017/08/27 | ||
| + | |End date=2017/08/31 | ||
|Submission deadline=2017/04/03 | |Submission deadline=2017/04/03 | ||
| + | |Homepage=https://recsys.acm.org/recsys17/ | ||
| + | |City=Como | ||
| + | |Country=Italy | ||
|Abstract deadline=2017/03/27 | |Abstract deadline=2017/03/27 | ||
|Paper deadline=2017/04/03 | |Paper deadline=2017/04/03 | ||
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|has general chair=Paolo Cremonesi, Francesco Ricci | |has general chair=Paolo Cremonesi, Francesco Ricci | ||
|has program chair=Alexander Tuzhilin, Shlomo Berkovsky | |has program chair=Alexander Tuzhilin, Shlomo Berkovsky | ||
| + | |Submitted papers=125 | ||
| + | |Accepted papers=26 | ||
|Accepted short papers=20 | |Accepted short papers=20 | ||
| − | + | |State=IT/25}} | |
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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 23:02, 24 October 2021
Event Rating
| median | worst |
|---|---|
List of all ratings can be found at RecSys 2017/rating
| RecSys 2017 | |
|---|---|
11th ACM Conference on Recommender Systems
| |
| Event in series | RecSys |
| Dates | 2017/08/27 (iCal) - 2017/08/31 |
| Homepage: | https://recsys.acm.org/recsys17/ |
| Location | |
| Location: | Como, IT/25, Italy |
| Important dates | |
| Abstracts: | 2017/03/27 |
| Papers: | 2017/04/03 |
| Submissions: | 2017/04/03 |
| Camera ready due: | 2017/07/07 |
| Accepted short papers: | 20 |
| Papers: | Submitted 125 / Accepted 26 (20.8 %) |
| Committees | |
| General chairs: | Paolo Cremonesi, Francesco Ricci |
| PC chairs: | Alexander Tuzhilin, Shlomo Berkovsky |
| Table of Contents | |
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