Difference between revisions of "RecSys 2019"

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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 2019
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|Title=13th ACM Conference on Recommender Systems
 +
|Series=RecSys
 +
|Type=Conference
 +
|Start date=2019/09/16
 +
|End date=2019/09/20
 
|Submission deadline=2019/04/23
 
|Submission deadline=2019/04/23
 +
|Homepage=https://recsys.acm.org/recsys19/
 +
|City=Copenhagen
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|Country=Denmark
 
|Abstract deadline=2019/04/15
 
|Abstract deadline=2019/04/15
 
|Paper deadline=2019/04/23
 
|Paper deadline=2019/04/23
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|has general chair=Toine Bogers, Alain Said
 
|has general chair=Toine Bogers, Alain Said
 
|has program chair=Domonkos Tikk, Peter Brusilovsky
 
|has program chair=Domonkos Tikk, Peter Brusilovsky
|Acronym          =RecSys 2019
+
|Submitted papers=354
|End date        =2019/09/20
+
|Accepted papers=76
|Series          =RecSys
+
|State=US/NY}}
|Type            =Conference
 
|Country          =US
 
|State           =US/NY
 
|City            =US/NY/Copenhagen
 
|Homepage        =https://recsys.acm.org/recsys19/
 
|Start date      =2019/09/16
 
|Title            =13th ACM Conference on Recommender Systems
 
|Accepted papers  =76
 
|Submitted papers =354}}
 
 
Topics of interest for RecSys 2019 include but are not limited to (alphabetically ordered
 
Topics of interest for RecSys 2019 include but are not limited to (alphabetically ordered
  

Revision as of 00:37, 25 October 2021


Event Rating

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List of all ratings can be found at RecSys 2019/rating

RecSys 2019
13th ACM Conference on Recommender Systems
Event in series RecSys
Dates 2019/09/16 (iCal) - 2019/09/20
Homepage: https://recsys.acm.org/recsys19/
Location
Location: Copenhagen, US/NY, Denmark
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Important dates
Abstracts: 2019/04/15
Papers: 2019/04/23
Submissions: 2019/04/23
Camera ready due: 2019/07/22
Papers: Submitted 354 / Accepted 76 (21.5 %)
Committees
General chairs: Toine Bogers, Alain Said
PC chairs: Domonkos Tikk, Peter Brusilovsky
Table of Contents

Topics of interest for RecSys 2019 include but are not limited to (alphabetically ordered

  • Algorithm scalability, performance, and implementations
  • Bias, bubbles and ethics of recommender systems
  • Case studies of real-world implementations
  • Context-aware recommender systems
  • Conversational recommender systems
  • Cross-domain recommendation
  • Economic models and consequences of recommender systems
  • Evaluation metrics and studies
  • Explanations and evidence
  • Innovative/New applications
  • Interfaces for recommender systems
  • Novel machine learning approaches to recommendation algorithms (deep learning, reinforcement learning, etc.)
  • Preference elicitation
  • Privacy and Security
  • Social recommenders
  • User modelling
  • Voice, VR, and other novel interaction paradigms