We welcome you to the 5th ACM Conference on Recommender Systems (ACM RecSys 2011) held in Chicago on October 23-27, 2011. Over the last several years, ACM RecSys has become a flagship event in the area of recommender systems, where leading researchers and practitioners from around the world have an opportunity to meet and discuss their latest results and solutions.
This year, ACM RecSys had 169 submissions from 42 different countries that were sent out for review. As was the case in the last few years, there were two paper submission categories: long papers (that should report on substantial contributions of lasting value) and short papers (that typically discuss exciting new work that is not yet mature enough for a long paper). Out of 110 long paper submissions, 22 were accepted (20.0%) for oral presentation at the conference. In addition, to accommodate the growing number of quality long paper submissions over the years, 8 additional long papers were accepted for poster presentation (resulting in the final acceptance rate of 27.3% for long paper submissions). Out of 59 short paper submissions, 24 were accepted (40.7%) for poster presentation at the conference.
In addition to the paper presentations, the conference program includes a multitude of other interesting events. These events include: two keynotes, one from an academic perspective by Noshir Contractor (Northwestern University) and one from an industrial perspective by Neel Sundaresan (eBay Research Labs); a highly diverse industry track featuring Andrew Tomkins (Google), Rajat Raina (Facebook), Jon Sanders (Netflix), Pankaj Gupta (Twitter) and Eric Bieschke (Pandora); a record number of nine workshops; three invited tutorials; a doctoral symposium; and a panel on the latest emerging issues that are important to the field.
Cited By
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Deng X, Limongi T and Lin H (2024). Dual granularity multi-layer attention networks for group event recommendation Second International Conference on Electrical, Electronics, and Information Engineering (EEIE 2023), 10.1117/12.3017548, 9781510672840, (50)
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Guo R, Zhang C, Wu M and Gao Y (2016). A Graph-Based Novelty Research on the Music Recommendation 2016 International Conference on Computational Science and Computational Intelligence (CSCI), 10.1109/CSCI.2016.0251, 978-1-5090-5510-4, (1345-1350)
Index Terms
- Proceedings of the fifth ACM conference on Recommender systems
Recommendations
Acceptance Rates
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% |