(mobo import Concept___Event_For_Confident-migrated) |
m (Text replacement - "Homepage=" to "Official Website=") |
||
(3 intermediate revisions by the same user not shown) | |||
Line 3: | Line 3: | ||
|Title=11th ACM Conference on Recommender Systems | |Title=11th ACM Conference on Recommender Systems | ||
|Type=Conference | |Type=Conference | ||
− | | | + | |Official Website=https://recsys.acm.org/recsys17/ |
− | |||
|City=Como | |City=Como | ||
− | |Country= | + | |Country=Country:IT |
− | |||
− | |||
− | |||
|has general chair=Paolo Cremonesi, Francesco Ricci | |has general chair=Paolo Cremonesi, Francesco Ricci | ||
|has program chair=Alexander Tuzhilin, Shlomo Berkovsky | |has program chair=Alexander Tuzhilin, Shlomo Berkovsky | ||
− | |||
− | |||
− | |||
|pageCreator=User:Curator 53 | |pageCreator=User:Curator 53 | ||
|pageEditor=User:Curator 53 | |pageEditor=User:Curator 53 | ||
Line 22: | Line 15: | ||
|Start Date=2017/08/27 | |Start Date=2017/08/27 | ||
|End Date=2017/08/31 | |End Date=2017/08/31 | ||
+ | |Event Status=as scheduled | ||
+ | |Event Mode=on site | ||
}} | }} | ||
+ | {{Event Deadline | ||
+ | |Abstract Deadline=2017/03/27 | ||
+ | |Paper Deadline=2017/04/03 | ||
+ | |Camera-Ready Deadline=2017/07/07 | ||
+ | |Submission Deadline=2017/04/03 | ||
+ | }} | ||
+ | {{Event Metric | ||
+ | |Number Of Submitted Papers=125 | ||
+ | |Number Of Accepted Papers=26 | ||
+ | |Number Of Accepted Short Papers=20 | ||
+ | }} | ||
+ | {{S Event}} | ||
Topics of interest for RecSys 2017 include (but are not limited to): | Topics of interest for RecSys 2017 include (but are not limited to): | ||
Latest revision as of 14:18, 19 October 2022
Deadlines
|
||
Abstract |
|
||
Submission |
|
||
Paper |
|
||
Camera-Ready |
Metrics
Submitted Papers
125
Accepted Papers
26
Accepted Short Papers
20
Venue
Como, Italy
Warning: Venue is missing. The map might not show the exact location.
Topics of interest for RecSys 2017 include (but are not limited to):
- Algorithm scalability
- Case studies of real-world implementations
- Conversational recommender systems
- Context-aware recommenders
- Evaluation metrics and studies
- Explanations and evidence
- Field and user studies
- Group recommenders
- Innovative/New applications
- Machine learning for recommendation
- Mobile and multi-channel recommendations
- Novel paradigms
- Personalisation
- Preference elicitation
- Privacy and Security
- Recommendation algorithms
- Social recommenders
- Semantic technologies for recommendation
- Trust and reputation
- Theoretical foundations
- User interaction and interfaces
- User modelling