Difference between revisions of "RecSys 2018"
		
		
		
		
		
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|has program chair=Xavier Amatriain, John O’Donovan  | |has program chair=Xavier Amatriain, John O’Donovan  | ||
|Acronym          =RecSys 2018  | |Acronym          =RecSys 2018  | ||
| − | |End date         =2018  | + | |End date         =2018-10-07  | 
|Series           =RecSys  | |Series           =RecSys  | ||
|Type             =Conference  | |Type             =Conference  | ||
| Line 13: | Line 13: | ||
|State            =CA/BC  | |State            =CA/BC  | ||
|City             =CA/BC/Vancouver  | |City             =CA/BC/Vancouver  | ||
| + | |Year             =2018  | ||
|Homepage         =https://recsys.acm.org/recsys18/  | |Homepage         =https://recsys.acm.org/recsys18/  | ||
| − | |Start date       =2018  | + | |Start date       =2018-10-02  | 
|Title            =12th ACM Conference on Recommender Systems  | |Title            =12th ACM Conference on Recommender Systems  | ||
|Accepted papers  =81  | |Accepted papers  =81  | ||
Revision as of 02:33, 19 November 2021
Event Rating
| median | worst | 
|---|---|
List of all ratings can be found at RecSys 2018/rating
| RecSys 2018 | |
|---|---|
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: | CA/BC/Vancouver, CA/BC, CA | 
| 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