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ACM Conference on Recommender Systems

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  • Comment: Please add independent sources, most of them are not at all independent. QueerEcofeminist🌈 06:10, 27 September 2022 (UTC)


ACM Conference on Recommender Systems (ACM RecSys) is a peer-reviewed academic conference series about recommender systems. Sponsored by the Association for Computing Machinery, this conference focuses on issues such as algorithms, machine learning, human-computer interaction, and data science from an multi-disciplinary perspective. The conference community includes computer scientists, statisticians, social scientists, psychologists, and others.

The conference is sponsored by Big Tech companies such as Amazon, Netflix, Meta, Nvidia, Microsoft, Google, and Spotify, and large foundations such as the NSF.[1]

While an academic conference, RecSys attracts many practitioners and industry researchers, with industry attendance making up the majority of attendees[2], this is also reflected in the authorship of research papers[3]. Many works published at the conference have direct impact on recommendation and personalization practice in industry[4][5][6][7] affecting millions of users.

Recommender systems are pervasive in online systems, the conference provides opportunities for researchers and practitioners to address specific problems in various workshops in conjunction with the conference, topics include responsible recommendation[8], causal reasoning[9], and others. The workshop themes follow recent developments in the broader machine learning and human-computer interaction topics.

The conference is the host of the ACM RecSys Challenge, a yearly competition in the spirit of the Netflix Prize focussing on a specific recommendation problem. The Challenge has been organized by companies such as Twitter[10], and Spotify[11]. Participation in the challenge is open to everyone and participation in it has become a means of showcasing ones skills in recommendations[12], similar to Kaggle competitions.

List of conferences

Past and future RecSys conferences include:

Year Location Date General Chairs Link
2023 Singapore September 18-22 Jie Zhang, Li Chen, Shlomo Berkovsky Website
2022 Seattle, WA, USA and online September 18-23 Jen Golbeck, Max Harper, Vanessa Murdock Website
2021 Amsterdam, The Netherlands and Online September 27 - October 1 Martha Larson, Martijn Willemsen, Humberto Corona Website
2020 Online September 22-26 Leandro Balby Marinho, Rodrygo Santos Website
2019 Copenhagen, Denmark September 16-20 Toine Bogers, Alan Said Website
2018 Vancouver, Canada October 2-7 Sole Pera, Michael Ekstrand Website
2017 Cernobbio, Italy August 27-31 Paolo Cremonesi, Francesco Ricci Website
2016 Boston, MA, USA September 15-19 Werner Geyer, Shilad Sen Website
2015 Vienna, Austria September 16-20 Hannes Werthner (de), Markus Zanker Website
2014 Foster City, CA, USA October 6-10 Alfred Kobsa, Michelle Zhou Website
2013 Hong Kong, China October 12-16 Irwin King, Qiang Yang, Qing Li Website
2012 Dublin, Ireland September 9-13 Pádraig Cunningham, Neil Hurley Website
2011 Chicago, IL, USA October 23-27 Bamshad Mobasher, Robin Burke Website
2010 Barcelona, Spain September 26-30 Xavier Amatriain, Marc Torrens Website
2009 New York, NY, USA October 11-15 Lawrence Bergman, Alexander Tuzhilin Website
2008 Lausanne, Switzerland October 23-25 Pearl Pu Website
2007 Minneapolis, MN, USA September 19-20 Joe Konstan Website

References

  1. ^ "ACM RecSys 2022 Sponsorship". Retrieved 2022-09-08.
  2. ^ "RecSys 2020 Welcome Session". Retrieved 2022-09-26.
  3. ^ "TD Bank creates AI-powered Spotify playlist to win contest". Retrieved 2022-09-26.
  4. ^ "Chetan Kalyan: A techie's journey through India's E-commerce revolution". Retrieved 2022-09-26.
  5. ^ "Wie entwickelt das ZDF Empfehlungsalgorithmen?" (in German). Retrieved 2022-09-26.
  6. ^ "Διεθνής διάκριση ερευνητικής ομάδας του ΕΛΜΕΠΑ στο διαγωνισμό πληροφορικής του RecSys" (in Greek). Retrieved 2022-09-26.
  7. ^ "Reverse Engineering The YouTube Algorithm: Part II". Retrieved 2022-09-26.
  8. ^ "The People Trying to Make Internet Recommendations Less Toxic". Retrieved 2022-09-27.
  9. ^ "New workshop to help bring causal reasoning to recommendation systems".
  10. ^ "RecSys Challenge 2021". Retrieved 2022-09-08.
  11. ^ "RecSys Challenge 2018". Retrieved 2022-09-08.
  12. ^ "Inside TD's AI play: How Layer 6's technology hopes to improve old-fashioned banking advice". Retrieved 2022-09-27.

Category:Computer science conferences Category:Association for Computing Machinery conferences