Skip Abstract Section
Abstract
RecSys brings together academia and industry, research and practice, and multiple disciplines including human-computer interaction, machine learning, information retrieval, business, and psychology to advance recommendation techniques and our understanding of their human dimensions.
Proceeding Downloads
Index Terms
- Proceedings of the 13th ACM Conference on Recommender Systems
Index terms have been assigned to the content through auto-classification.
Please enable JavaScript to view thecomments powered by Disqus.
Recommendations
Acceptance Rates
RecSys '19 Paper Acceptance Rate 36 of 189 submissions, 19%;
Overall Acceptance Rate 254 of 1,295 submissions, 20%
Year | Submitted | Accepted | Rate |
---|---|---|---|
RecSys '19 | 189 | 36 | 19% |
RecSys '18 | 181 | 32 | 18% |
RecSys '17 | 125 | 26 | 21% |
RecSys '16 | 159 | 29 | 18% |
RecSys '15 | 131 | 28 | 21% |
RecSys '15 Challenge | 21 | 12 | 57% |
RecSys '14 | 234 | 35 | 15% |
RecSys '13 | 136 | 32 | 24% |
RecSys '12 | 119 | 24 | 20% |
Overall | 1,295 | 254 | 20% |