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ACM Conference on Recommender Systems
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<h2 id="notable-events">Notable Events</h2> <h3>Netflix Prize, 2009</h3> <p>The <a href="/facts/Netflix_Prize/EjSMRA5b">Netflix Prize</a> was a recommendation challenge organized by <a href="/facts/Netflix/TKtlFVY9">Netflix</a> between 2006 and 2009. Shortly prior to ACM RecSys 2009, the winners of the Netflix Prize were announced.<a class="footnote-ref" id="fnref:18" href="#fn:18"><sup>18</sup></a><a class="footnote-ref" id="fnref:19" href="#fn:19"><sup>19</sup></a> At the 2009 conference, members of the winning team (Bellkor's Pragmatich Chaos) as well as representatives from Netflix convened in a panel on the lessons learnt from the Netflix Prize<a class="footnote-ref" id="fnref:20" href="#fn:20"><sup>20</sup></a> </p> <h3>ByteDance Paper, 2022</h3> <p>In 2022, at one of the workshops at the conference, a paper from <a href="/facts/ByteDance/QWfLuqXB">ByteDance</a>,<a class="footnote-ref" id="fnref:21" href="#fn:21"><sup>21</sup></a> the company behind <a href="/facts/TikTok/LC3FaCbX">TikTok</a>, described in detail how a recommendation algorithm for video worked. While the paper did not point out the algorithm as the one that generates TikTok's recommendations, the paper received significant attention in technology-focused media.<a class="footnote-ref" id="fnref:22" href="#fn:22"><sup>22</sup></a><a class="footnote-ref" id="fnref:23" href="#fn:23"><sup>23</sup></a><a class="footnote-ref" id="fnref:24" href="#fn:24"><sup>24</sup></a><a class="footnote-ref" id="fnref:25" href="#fn:25"><sup>25</sup></a> </p> <h2 id="list-of-conferences">List of conferences</h2> <p>Past and future RecSys conferences include: </p> <table><tbody><tr><th>Year</th><th>Location</th><th>Date</th><th>General Chairs</th><th>Link</th></tr><tr><td>2025</td><td><a href="/facts/Prague%2c_Czech_Republic/txpRNTUE">Prague, Czech Republic</a></td><td>September 22-26</td><td><a href="/facts/M%25C3%25A1ria_Bielikov%25C3%25A1/Rp7hrtJ2">Mária Bieliková</a>, Pavel Kordik, Markus Schedl</td><td><a href="https://recsys.acm.org/recsys25/">Website</a></td></tr><tr><td>2024</td><td><a href="/facts/Bari%2c_Italy/ESFCEfdS">Bari, Italy</a></td><td>October 14-18</td><td>Pasquale Lops, Tommaso Di Noia</td><td><a href="https://recsys.acm.org/recsys24/">Website</a></td></tr><tr><td>2023</td><td><a href="/facts/Singapore/CQDkhUvD">Singapore</a></td><td>September 18-22</td><td>Jie Zhang, Li Chen, Shlomo Berkovsky</td><td><a href="https://recsys.acm.org/recsys23/">Website</a></td></tr><tr><td>2022</td><td><a href="/facts/Seattle%2c_WA%2c_USA/7lYIrCa6">Seattle, WA, USA</a> and <a href="/facts/Virtual_event/roXWxoU7">online</a></td><td>September 18-23</td><td><a href="/facts/Jen_Golbeck/uxCMAHv7">Jen Golbeck</a>, Max Harper, Vanessa Murdock</td><td><a href="https://recsys.acm.org/recsys22/">Website</a></td></tr><tr><td>2021</td><td><a href="/facts/Amsterdam%2c_the_Netherlands/Xdd393bz">Amsterdam, the Netherlands</a> and <a href="/facts/Virtual_event/roXWxoU7">online</a></td><td>September 27 - October 1</td><td>Martha Larson, Martijn Willemsen, Humberto Corona</td><td><a href="https://recsys.acm.org/recsys21/">Website</a></td></tr><tr><td>2020</td><td><a href="/facts/Virtual_event/roXWxoU7">Online</a></td><td>September 22-26</td><td>Leandro Balby Marinho, Rodrygo Santos</td><td><a href="https://recsys.acm.org/recsys20/">Website</a></td></tr><tr><td>2019</td><td><a href="/facts/Copenhagen%2c_Denmark/58Tl28IX">Copenhagen, Denmark</a></td><td>September 16-20</td><td>Toine Bogers, Alan Said</td><td><a href="https://recsys.acm.org/recsys19/">Website</a></td></tr><tr><td>2018</td><td><a href="/facts/Vancouver%2c_Canada/rn2AKA1n">Vancouver, Canada</a></td><td>October 2-7</td><td>Sole Pera, Michael Ekstrand</td><td><a href="https://recsys.acm.org/recsys18/">Website</a></td></tr><tr><td>2017</td><td><a href="/facts/Cernobbio/yCmyHme2"> Cernobbio, Italy</a></td><td>August 27-31</td><td>Paolo Cremonesi, Francesco Ricci</td><td><a href="https://recsys.acm.org/recsys17/">Website</a></td></tr><tr><td>2016</td><td><a href="/facts/Boston/exjfn6xf">Boston, MA, USA</a></td><td>September 15-19</td><td>Werner Geyer, Shilad Sen</td><td><a href="https://recsys.acm.org/recsys16/">Website</a></td></tr><tr><td>2015</td><td><a href="/facts/Vienna%2c_Austria/NSpIURsA">Vienna, Austria</a></td><td>September 16-20</td><td>Hannes Werthner [de], Markus Zanker</td><td><a href="https://recsys.acm.org/recsys15/">Website</a></td></tr><tr><td>2014</td><td><a href="/facts/Foster_City%2c_California/tNyvUg4R"> Foster City, CA, USA</a></td><td>October 6-10</td><td>Alfred Kobsa, Michelle Zhou</td><td><a href="https://recsys.acm.org/recsys14/">Website</a></td></tr><tr><td>2013</td><td><a href="/facts/Hong_Kong%2c_China/4nAf3mqQ">Hong Kong, China</a></td><td>October 12-16</td><td>Irwin King, <a href="/facts/Qiang_Yang/jMhC1fUk">Qiang Yang</a>, Qing Li</td><td><a href="https://recsys.acm.org/recsys13/">Website</a></td></tr><tr><td>2012</td><td><a href="/facts/Dublin%2c_Ireland/Fv8ezm8a">Dublin, Ireland</a></td><td>September 9-13</td><td>Pádraig Cunningham, Neil Hurley</td><td><a href="https://recsys.acm.org/recsys12/">Website</a></td></tr><tr><td>2011</td><td><a href="/facts/Chicago/yPMokrXH"> Chicago, IL, USA</a></td><td>October 23-27</td><td>Bamshad Mobasher, Robin Burke</td><td><a href="https://recsys.acm.org/recsys11/">Website</a></td></tr><tr><td>2010</td><td><a href="/facts/Barcelona%2c_Spain/8PWLdRbW">Barcelona, Spain</a></td><td>September 26-30</td><td>Xavier Amatriain, Marc Torrens</td><td><a href="https://recsys.acm.org/recsys10/">Website</a></td></tr><tr><td>2009</td><td><a href="/facts/New_York%2c_NY%2c_USA/YlyvFmVC">New York, NY, USA</a></td><td>October 11-15</td><td>Lawrence Bergman, <a href="/facts/Alexander_Tuzhilin/9KbnbwpT">Alexander Tuzhilin</a></td><td><a href="https://recsys.acm.org/recsys09/">Website</a></td></tr><tr><td>2008</td><td><a href="/facts/Lausanne%2c_Switzerland/HwlVEYGN">Lausanne, Switzerland</a></td><td>October 23-25</td><td><a href="/facts/Pearl_Pu/BpEQII7g">Pearl Pu</a></td><td><a href="https://recsys.acm.org/recsys08/">Website</a></td></tr><tr><td>2007</td><td><a href="/facts/Minneapolis/gEsXsP3d"> Minneapolis, MN, USA</a></td><td>September 19-20</td><td><a href="/facts/Joseph_A._Konstan/MMoc5Uw8"> Joe Konstan</a></td><td><a href="https://recsys.acm.org/recsys07/">Website</a></td></tr></tbody></table> <h2 id="key-numbers-and-history">Key Numbers and History</h2> <p> The ACM Recommender Systems Conference (RecSys) has experienced significant growth since its first event in 2007.<a class="footnote-ref" id="fnref:26" href="#fn:26"><sup>26</sup></a><a class="footnote-ref" id="fnref:27" href="#fn:27"><sup>27</sup></a> The number of paper submissions has steadily increased over the years. From an initial 35 submissions in 2007, the conference has seen over 250 submissions annually in recent years. While the number of submissions has increased, the conference's acceptance rate has become more selective, declining from 46% in its inaugural year to a range of 17-24% in more recent editions. </p> <h2 id="external-links">External links</h2> <ul><li><a href="https://recsys.acm.org/">Official website</a></li></ul> <h2 id="references">References</h2> <ol> <li id="fn:1"><p>"ACM RecSys Conference Ranking by CORE". portal.core.edu.au. Retrieved 2024-11-18. <a href="https://portal.core.edu.au/conf-ranks/28/" target="_blank">https://portal.core.edu.au/conf-ranks/28/</a> <a href="#fnref:1" class="footnote-back-ref">↩</a></p></li> <li id="fn:2"><p>"RecSys – ACM Recommender Systems". RecSys. Retrieved 2024-11-22. <a href="https://recsys.acm.org/#" target="_blank">https://recsys.acm.org/#</a> <a href="#fnref:2" class="footnote-back-ref">↩</a></p></li> <li id="fn:3"><p>"RecSys – ACM Recommender Systems". RecSys. Retrieved 2024-11-22. <a href="https://recsys.acm.org/steering-committee/" target="_blank">https://recsys.acm.org/steering-committee/</a> <a href="#fnref:3" class="footnote-back-ref">↩</a></p></li> <li id="fn:4"><p>"RECSYS Conference - Proceedings". ACM Digital Library. Retrieved 2024-11-22. <a href="https://dl.acm.org/conference/recsys/proceedings" target="_blank">https://dl.acm.org/conference/recsys/proceedings</a> <a href="#fnref:4" class="footnote-back-ref">↩</a></p></li> <li id="fn:5"><p>"RecSys – ACM Recommender Systems". RecSys. Retrieved 2024-11-18. <a href="https://recsys.acm.org/statistics/" target="_blank">https://recsys.acm.org/statistics/</a> <a href="#fnref:5" class="footnote-back-ref">↩</a></p></li> <li id="fn:6"><p>"2023 ACM RecSys Conference with the lowest number of industry sponsors since 2015 – RS_c". Retrieved 2024-11-18. <a href="https://recommender-systems.com/news/2023/11/10/2023-acm-recsys-lowest-no-sponsors/" target="_blank">https://recommender-systems.com/news/2023/11/10/2023-acm-recsys-lowest-no-sponsors/</a> <a href="#fnref:6" class="footnote-back-ref">↩</a></p></li> <li id="fn:7"><p>"RecSys 2020 Welcome Session". YouTube. Retrieved 2022-09-26. <a href="https://www.youtube.com/watch?v=Xm0uUu3RZDM&t=184s" target="_blank">https://www.youtube.com/watch?v=Xm0uUu3RZDM&t=184s</a> <a href="#fnref:7" class="footnote-back-ref">↩</a></p></li> <li id="fn:8"><p>"TD Bank creates AI-powered Spotify playlist to win contest". Retrieved 2022-09-26. <a href="https://www.itworldcanada.com/article/td-bank-creates-ai-powered-spotify-playlist-to-win-contest/407604" target="_blank">https://www.itworldcanada.com/article/td-bank-creates-ai-powered-spotify-playlist-to-win-contest/407604</a> <a href="#fnref:8" class="footnote-back-ref">↩</a></p></li> <li id="fn:9"><p>"Wie entwickelt das ZDF Empfehlungsalgorithmen?" (in German). Retrieved 2022-09-26. <a href="https://netzpolitik.org/2022/neues-aus-dem-fernsehrat-87-wie-entwickelt-das-zdf-empfehlungsalgorithmen/" target="_blank">https://netzpolitik.org/2022/neues-aus-dem-fernsehrat-87-wie-entwickelt-das-zdf-empfehlungsalgorithmen/</a> <a href="#fnref:9" class="footnote-back-ref">↩</a></p></li> <li id="fn:10"><p>"Διεθνής διάκριση ερευνητικής ομάδας του ΕΛΜΕΠΑ στο διαγωνισμό πληροφορικής του RecSys" (in Greek). Retrieved 2022-09-26. <a href="https://www.anatolh.com/2022/09/01/diethnis-diakrisi-erevnitikis-omadas-tou-elmepa-sto-diagonismo-pliroforikis-tou-recsys/" target="_blank">https://www.anatolh.com/2022/09/01/diethnis-diakrisi-erevnitikis-omadas-tou-elmepa-sto-diagonismo-pliroforikis-tou-recsys/</a> <a href="#fnref:10" class="footnote-back-ref">↩</a></p></li> <li id="fn:11"><p>"Reverse Engineering The YouTube Algorithm: Part II". Retrieved 2022-09-26. <a href="https://www.tubefilter.com/2017/02/16/youtube-algorithm-reverse-engineering-part-ii/" target="_blank">https://www.tubefilter.com/2017/02/16/youtube-algorithm-reverse-engineering-part-ii/</a> <a href="#fnref:11" class="footnote-back-ref">↩</a></p></li> <li id="fn:12"><p>"The People Trying to Make Internet Recommendations Less Toxic". Retrieved 2022-09-27. <a href="https://www.wired.com/story/people-trying-make-internet-recommendations-less-toxic/" target="_blank">https://www.wired.com/story/people-trying-make-internet-recommendations-less-toxic/</a> <a href="#fnref:12" class="footnote-back-ref">↩</a></p></li> <li id="fn:13"><p>"New workshop to help bring causal reasoning to recommendation systems". <a href="https://www.amazon.science/blog/new-workshop-to-help-bring-causal-reasoning-to-recommendation-systems" target="_blank">https://www.amazon.science/blog/new-workshop-to-help-bring-causal-reasoning-to-recommendation-systems</a> <a href="#fnref:13" class="footnote-back-ref">↩</a></p></li> <li id="fn:14"><p>"RecSys Challenge 2021". Retrieved 2022-09-08. <a href="https://www.recsyschallenge.com/2021/" target="_blank">https://www.recsyschallenge.com/2021/</a> <a href="#fnref:14" class="footnote-back-ref">↩</a></p></li> <li id="fn:15"><p>"RecSys Challenge 2018". Retrieved 2022-09-08. <a href="https://www.recsyschallenge.com/2018/" target="_blank">https://www.recsyschallenge.com/2018/</a> <a href="#fnref:15" class="footnote-back-ref">↩</a></p></li> <li id="fn:16"><p>"Inside TD's AI play: How Layer 6's technology hopes to improve old-fashioned banking advice". The Globe and Mail. Retrieved 2022-09-27. <a href="https://www.theglobeandmail.com/business/article-inside-tds-ai-play-how-layer-6s-technology-hopes-to-improve-old/" target="_blank">https://www.theglobeandmail.com/business/article-inside-tds-ai-play-how-layer-6s-technology-hopes-to-improve-old/</a> <a href="#fnref:16" class="footnote-back-ref">↩</a></p></li> <li id="fn:17"><p>"TD's Layer 6 wins Spotify RecSys Challenge 2018". Retrieved 2023-02-13. <a href="https://www.newswire.ca/news-releases/tds-layer-6-wins-spotify-recsys-challenge-2018-689222261.html" target="_blank">https://www.newswire.ca/news-releases/tds-layer-6-wins-spotify-recsys-challenge-2018-689222261.html</a> <a href="#fnref:17" class="footnote-back-ref">↩</a></p></li> <li id="fn:18"><p>"BellKor's Pragmatic Chaos Wins $1 Million Netflix Prize by Mere Minutes". Retrieved 2023-02-13. <a href="https://www.wired.com/2009/09/bellkors-pragmatic-chaos-wins-1-million-netflix-prize/" target="_blank">https://www.wired.com/2009/09/bellkors-pragmatic-chaos-wins-1-million-netflix-prize/</a> <a href="#fnref:18" class="footnote-back-ref">↩</a></p></li> <li id="fn:19"><p>"How the Netflix Prize Was Won". Retrieved 2023-02-13. <a href="https://www.wired.com/2009/09/how-the-netflix-prize-was-won/" target="_blank">https://www.wired.com/2009/09/how-the-netflix-prize-was-won/</a> <a href="#fnref:19" class="footnote-back-ref">↩</a></p></li> <li id="fn:20"><p>"RecSys 2009 Program". Retrieved 2023-02-13. <a href="https://recsys.acm.org/recsys09/program/" target="_blank">https://recsys.acm.org/recsys09/program/</a> <a href="#fnref:20" class="footnote-back-ref">↩</a></p></li> <li id="fn:21"><p>Liu, Zhuoran; Zou, Leqi; Zou, Xuan; Wang, Caihua; Zhang, Biao; Tang, Da; Zhu, Bolin; Zhu, Yijie; Wu, Peng; Wang, Ke; Cheng, Youlong (2022). "Monolith: Real Time Recommendation System With Collisionless Embedding Table". arXiv:2209.07663 [cs.IR]. <a href="/wiki/ArXiv_(identifier)" target="_blank">/wiki/ArXiv_(identifier)</a> <a href="#fnref:21" class="footnote-back-ref">↩</a></p></li> <li id="fn:22"><p>"#2 How TikTok Real Time Recommendation algorithm scales to billions?". Retrieved 2023-02-13. <a href="https://www.machinelearningatscale.com/how-tiktok-recommendation-algorithm-scales-to-billion/" target="_blank">https://www.machinelearningatscale.com/how-tiktok-recommendation-algorithm-scales-to-billion/</a> <a href="#fnref:22" class="footnote-back-ref">↩</a></p></li> <li id="fn:23"><p>"Computer Science Researchers at Bytedance Developed Monolith: a Collisionless Optimised Embedding Table for Deep Learning-Based Real-Time Recommendations in a Memory-Efficient Way". Retrieved 2023-02-13. <a href="https://www.marktechpost.com/2022/11/14/computer-science-researchers-at-bytedance-developed-monolith-a-collisionless-optimised-embedding-table-for-deep-learning-based-real-time-recommendations-in-a-memory-efficient-way/" target="_blank">https://www.marktechpost.com/2022/11/14/computer-science-researchers-at-bytedance-developed-monolith-a-collisionless-optimised-embedding-table-for-deep-learning-based-real-time-recommendations-in-a-memory-efficient-way/</a> <a href="#fnref:23" class="footnote-back-ref">↩</a></p></li> <li id="fn:24"><p>"Paper Review Monolith: Towards Better Recommendation Systems". Retrieved 2023-02-13. <a href="https://pub.towardsai.net/paper-review-monolith-towards-better-recommendation-systems-b58702be416a" target="_blank">https://pub.towardsai.net/paper-review-monolith-towards-better-recommendation-systems-b58702be416a</a> <a href="#fnref:24" class="footnote-back-ref">↩</a></p></li> <li id="fn:25"><p>"CHINA'S BYTEDANCE INTROS DIFFERENT APPROACH TO RECOMMENDATION AT SCALE". Retrieved 2023-02-13. <a href="https://www.nextplatform.com/2022/09/26/chinas-bytedance-intros-different-approach-to-recommendation-at-scale/" target="_blank">https://www.nextplatform.com/2022/09/26/chinas-bytedance-intros-different-approach-to-recommendation-at-scale/</a> <a href="#fnref:25" class="footnote-back-ref">↩</a></p></li> <li id="fn:26"><p>"RecSys – ACM Recommender Systems". RecSys. Retrieved 2024-11-22. <a href="https://recsys.acm.org/#" target="_blank">https://recsys.acm.org/#</a> <a href="#fnref:26" class="footnote-back-ref">↩</a></p></li> <li id="fn:27"><p>"Stats on Submitted & Accepted Papers and Acceptance Rate at the ACM Recommender Systems Conference until 2023 – RS_c". Retrieved 2024-11-22. <a href="https://recommender-systems.com/news/2023/09/06/acm-recsys-stats-paper-submissions/" target="_blank">https://recommender-systems.com/news/2023/09/06/acm-recsys-stats-paper-submissions/</a> <a href="#fnref:27" class="footnote-back-ref">↩</a></p></li> </ol>