Difference between revisions of "RecSys 2018"

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(modified through wikirestore by Th)
 
(modified through wikirestore by Th)
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{{Event
 
{{Event
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|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
|Acronym          =RecSys 2018
+
|Submitted papers=331
|End date        =2018/10/07
+
|Accepted papers=81
|Series          =RecSys
+
|State=CA/BC}}
|Type            =Conference
 
|Country          =CA
 
|State           =CA/BC
 
|City            =CA/BC/Vancouver
 
|Homepage        =https://recsys.acm.org/recsys18/
 
|Start date      =2018/10/02
 
|Title            =12th ACM Conference on Recommender Systems
 
|Accepted papers  =81
 
|Submitted papers =331}}
 
 
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

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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: Vancouver, CA/BC, Canada
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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