(mobo import Concept___Events-migrated) |
m (Text replacement - "Homepage=" to "Official Website=") |
||
| (2 intermediate revisions by 2 users not shown) | |||
| Line 2: | Line 2: | ||
|Acronym=RecSys 2019 | |Acronym=RecSys 2019 | ||
|Title=13th ACM Conference on Recommender Systems | |Title=13th ACM Conference on Recommender Systems | ||
| − | | | + | |In Event Series=Event Series:RecSys |
| − | | | + | |Single Day Event=no |
| + | |Start Date=2019/09/16 | ||
| + | |End Date=2019/09/20 | ||
| + | |Event Status=as scheduled | ||
| + | |Event Mode=on site | ||
|City=Copenhagen | |City=Copenhagen | ||
|Country=Country:DK | |Country=Country:DK | ||
| + | |Official Website=https://recsys.acm.org/recsys19/ | ||
| + | |Type=Conference | ||
| + | |Official Website=https://recsys.acm.org/recsys19/ | ||
|has general chair=Toine Bogers, Alain User:Curator 84 | |has general chair=Toine Bogers, Alain User:Curator 84 | ||
|has program chair=Domonkos Tikk, Peter Brusilovsky | |has program chair=Domonkos Tikk, Peter Brusilovsky | ||
| − | |||
| − | |||
|pageCreator=User:Curator 53 | |pageCreator=User:Curator 53 | ||
|pageEditor=User:Curator 19 | |pageEditor=User:Curator 19 | ||
|contributionType=1 | |contributionType=1 | ||
| − | |||
| − | |||
| − | |||
| − | |||
| − | |||
| − | |||
}} | }} | ||
{{Event Deadline | {{Event Deadline | ||
| + | |Submission Deadline=2019/04/23 | ||
|Abstract Deadline=2019/04/15 | |Abstract Deadline=2019/04/15 | ||
|Paper Deadline=2019/04/23 | |Paper Deadline=2019/04/23 | ||
|Camera-Ready Deadline=2019/07/22 | |Camera-Ready Deadline=2019/07/22 | ||
| − | | | + | }} |
| + | {{Event Metric | ||
| + | |Number Of Submitted Papers=354 | ||
| + | |Number Of Accepted Papers=76 | ||
}} | }} | ||
{{S Event}} | {{S Event}} | ||
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 | ||
| − | * | + | *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 |
Latest revision as of 14:18, 19 October 2022
Deadlines
|
||
| Abstract |
|
||
| Submission |
|
||
| Paper |
|
||
| Camera-Ready |
Metrics
Submitted Papers
354
Accepted Papers
76
Venue
Copenhagen, Denmark
Warning: Venue is missing. The map might not show the exact location.
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
