Difference between revisions of "RecSys 2017"
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{{Event | {{Event | ||
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|Submission deadline=2017/04/03 | |Submission deadline=2017/04/03 | ||
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|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 | ||
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|Accepted short papers=20 | |Accepted short papers=20 | ||
− | |State=IT/25}} | + | |Acronym =RecSys 2017 |
+ | |End date =2017-08-31 | ||
+ | |Series =RecSys | ||
+ | |Type =Conference | ||
+ | |Country =IT | ||
+ | |State =IT/25 | ||
+ | |City =IT/25/Como | ||
+ | |Year =2017 | ||
+ | |Homepage =https://recsys.acm.org/recsys17/ | ||
+ | |Start date =2017-08-27 | ||
+ | |Title =11th ACM Conference on Recommender Systems | ||
+ | |Accepted papers =26 | ||
+ | |Submitted papers =125 | ||
+ | }} | ||
Topics of interest for RecSys 2017 include (but are not limited to): | Topics of interest for RecSys 2017 include (but are not limited to): | ||
Latest revision as of 03:45, 6 December 2021
Event Rating
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List of all ratings can be found at RecSys 2017/rating
RecSys 2017 | |
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11th ACM Conference on Recommender Systems
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Event in series | RecSys |
Dates | 2017-08-27 (iCal) - 2017-08-31 |
Homepage: | https://recsys.acm.org/recsys17/ |
Location | |
Location: | IT/25/Como, IT/25, IT |
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