Difference between revisions of "RecSys 2017"
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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= | + | |Submitted papers=125 |
| − | |Accepted papers= | + | |Accepted papers=26 |
| − | |Accepted short papers= | + | |Accepted short papers=20 |
| + | |pageCreator=Saskia.Ernert | ||
| + | |pageEditor=Saskia.Ernert | ||
| + | |contributionType=1 | ||
}} | }} | ||
| + | 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 | ||
Latest revision as of 18:54, 1 April 2022
| 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, 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