RecSys '19: Proceedings of the 13th ACM Conference on Recommender Systems
2019 ProceedingNext Conference
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
Acceptance Rates
RecSys '19 Paper Acceptance Rate 36 of 189 submissions, 19%
Overall Acceptance Rate 435 of 1,877 submissions, 23%
| 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% |
| RecSys '11 | 110 | 22 | 20% |
| RecSys '10 | 129 | 25 | 19% |
| RecSys '09 | 187 | 80 | 43% |
| RecSys '08 | 121 | 38 | 31% |
| RecSys '07 | 35 | 16 | 46% |
| Overall | 1,877 | 435 | 23% |