Difference between revisions of "RecSys 2018"
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{{Event | {{Event | ||
+ | |Acronym=RecSys 2018 | ||
+ | |Title=12th ACM Conference on Recommender Systems | ||
+ | |Series=RecSys | ||
+ | |Type=Conference | ||
+ | |Start date=2018/10/02 | ||
+ | |End date=2018/10/07 | ||
|Submission deadline=2018/05/07 | |Submission deadline=2018/05/07 | ||
+ | |Homepage=https://recsys.acm.org/recsys18/ | ||
+ | |City=Vancouver | ||
+ | |Country=Canada | ||
|Abstract deadline=2018/04/30 | |Abstract deadline=2018/04/30 | ||
|Paper deadline=2018/05/07 | |Paper deadline=2018/05/07 | ||
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|has general chair=Sole Pera, Michael Ekstrand | |has general chair=Sole Pera, Michael Ekstrand | ||
|has program chair=Xavier Amatriain, John O’Donovan | |has program chair=Xavier Amatriain, John O’Donovan | ||
− | | | + | |Submitted papers=331 |
− | | | + | |Accepted papers=81 |
− | + | |State=CA/BC}} | |
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− | |State | ||
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Topics of interest for RecSys 2018 include (but are not limited to): | Topics of interest for RecSys 2018 include (but are not limited to): | ||
Revision as of 00:33, 25 October 2021
Event Rating
median | worst |
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List of all ratings can be found at RecSys 2018/rating
RecSys 2018 | |
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12th ACM Conference on Recommender Systems
| |
Event in series | RecSys |
Dates | 2018/10/02 (iCal) - 2018/10/07 |
Homepage: | https://recsys.acm.org/recsys18/ |
Location | |
Location: | Vancouver, CA/BC, Canada |
Important dates | |
Abstracts: | 2018/04/30 |
Papers: | 2018/05/07 |
Submissions: | 2018/05/07 |
Camera ready due: | 2018/08/06 |
Papers: | Submitted 331 / Accepted 81 (24.5 %) |
Committees | |
General chairs: | Sole Pera, Michael Ekstrand |
PC chairs: | Xavier Amatriain, John O’Donovan |
Table of Contents | |
Topics of interest for RecSys 2018 include (but are not limited to):
- Conversational recommender systems
- Novel machine learning approaches to recommendation algorithms
- Evaluation metrics and studies
- Explanations and evidence
- Algorithm scalability, performance, and implementations
- Innovative/New applications
- Voice, VR, and other novel interaction paradigms
- Case studies of real-world implementations
- Preference elicitation
- Privacy and Security
- Economic models and consequences of recommender systems
- Personalisation
- Social recommenders
- User modelling