SEP282026

RecSys 2026 — ACM Conference on Recommender Systems

by ACM SIGCHI

conferenceIn-PersonUpcomingStarts in 2 months

The premier international forum for recommender systems research

September 28 – October 2, 2026·Marriott City Center, Downtown Minneapolis, Minnesota·Paid
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THE DAILY BRIEF
SEP282026
RecSys 2026 — ACM Conference on Recommender Systems

by ACM SIGCHI

conferenceIn-Personupcoming

The premier international forum for recommender systems research

About This Event

RecSys 2026, the 20th ACM Conference on Recommender Systems, runs 28 September to 2 October 2026 at the Marriott City Center in downtown Minneapolis, Minnesota. Sponsored by ACM SIGCHI, it is the field's primary venue: three main-session days (Tuesday to Thursday, 29 September to 1 October) bracketed by workshop and tutorial days on 28 September and 2 October, with a doctoral symposium tentatively scheduled for 27 September. Alongside a heavily filtered main track — RecSys 2025 accepted 49 of 261 long papers, a 19% rate — the programme carries a full Industry Track for deployment papers, a Reproducibility track, demos, Research & Practice Notes and the RecSys Challenge. General chairs are Joseph Konstan, George Karypis and Gediminas Adomavicius; program chairs are Minmin Chen, Bart Goethals and Martijn Willemsen. The 2025 edition was funded at Diamond tier by Google, Netflix Research, Amazon Science, AppLovin, Aampe and Xiaohongshu.

At a Glance

Date
September 28 – October 2, 2026
Location
Marriott City Center, Downtown Minneapolis, Minnesota
Format
In-Person
Event Type
Conference
Status
Upcoming
Pricing
Paid
Organizer
ACM SIGCHI
Added
Jun 24, 2026
Updated
Aug 2, 2026

Topics & Focus Areas

Recommender SystemsGenerative and Reasoning-Based RecommendationConversational and Context-Aware RecommendersEvaluation Methodologies Beyond AccuracyFairness, Diversity and Bias MitigationExplainability, Transparency and User ControlReproducibility and BenchmarkingMulti-Stakeholder and Cross-Domain RecommendationHuman-Centered and Interactive RecommendationLarge-Scale Deployment and Real-World Applications

Who Should Attend

  • Machine Learning Engineer
  • Research Scientist
  • Data Scientist
  • Head of Personalization / Recommendations
  • VP of Engineering
  • Applied ML Practitioner
  • Product Manager (Search & Discovery)
  • PhD Student

Organizer

A

ACM SIGCHI

sigchi.org/

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About This Event

RecSys 2026, the 20th ACM Conference on Recommender Systems, runs 28 September to 2 October 2026 at the Marriott City Center in downtown Minneapolis, Minnesota. Sponsored by ACM SIGCHI, it is the field's primary venue: three main-session days (Tuesday to Thursday, 29 September to 1 October) bracketed by workshop and tutorial days on 28 September and 2 October, with a doctoral symposium tentatively scheduled for 27 September. Alongside a heavily filtered main track — RecSys 2025 accepted 49 of 261 long papers, a 19% rate — the programme carries a full Industry Track for deployment papers, a Reproducibility track, demos, Research & Practice Notes and the RecSys Challenge. General chairs are Joseph Konstan, George Karypis and Gediminas Adomavicius; program chairs are Minmin Chen, Bart Goethals and Martijn Willemsen. The 2025 edition was funded at Diamond tier by Google, Netflix Research, Amazon Science, AppLovin, Aampe and Xiaohongshu.

At a Glance

Date
September 28 – October 2, 2026
Location
Marriott City Center, Downtown Minneapolis, Minnesota
Format
In-Person
Event Type
Conference
Status
Upcoming
Pricing
Paid
Organizer
ACM SIGCHI
Added
Jun 24, 2026
Updated
Aug 2, 2026

Topics & Focus Areas

Recommender SystemsGenerative and Reasoning-Based RecommendationConversational and Context-Aware RecommendersEvaluation Methodologies Beyond AccuracyFairness, Diversity and Bias MitigationExplainability, Transparency and User ControlReproducibility and BenchmarkingMulti-Stakeholder and Cross-Domain RecommendationHuman-Centered and Interactive RecommendationLarge-Scale Deployment and Real-World Applications

Who Should Attend

  • Machine Learning Engineer
  • Research Scientist
  • Data Scientist
  • Head of Personalization / Recommendations
  • VP of Engineering
  • Applied ML Practitioner
  • Product Manager (Search & Discovery)
  • PhD Student

Why Attend

If your revenue depends on a ranking model — feed, catalogue, search, ads or next-best-action — this is the field's primary week. The Industry Track carries 4–8 page papers on real production deployments, and the Reproducibility track exists precisely because too many published gains do not survive contact with live traffic. The companies funding it are the ones running recommenders at scale: Google, Netflix Research, Amazon Science, AppLovin and Xiaohongshu backed the 2025 edition at Diamond tier, with Spotify, Booking, Disney and Zalando at Bronze. A CTO leaves with a defensible build-versus-buy read, evaluation methods that go beyond offline accuracy, and a hiring shortlist. At $800–$1,200 for members it also costs a fraction of a vendor conference.

Event Features

  • Main technical track — long (8pp), short (4pp) and 'Past, Present and Future' (4pp) papers
  • Industry Track for real-world deployment papers (4–8 pages)
  • Reproducibility track — reproducibility/replicability papers plus resource papers
  • Research & Practice Notes for early-stage work (2 pages plus references)
  • Doctoral Symposium, tentatively 27 September 2026
  • Two workshop and tutorial days — 28 September and 2 October
  • The RecSys Challenge competition
  • Demonstrations track
  • Keynote and invited talks
  • Two social events included with main-conference registration

What Makes This Unique

  • 20th edition — the longest-running dedicated venue for recommender systems, with published acceptance statistics back to 2007 (3,221 submissions, 646 accepted, 20% overall)
  • Hard-gated main track: RecSys 2025 accepted 49 of 261 long papers, a 19% acceptance rate
  • A first-class Industry Track of 4–8 page papers on real production deployments, not a vendor expo
  • Dedicated Reproducibility track carrying both reproducibility/replicability papers and resource papers
  • Funded by the companies that actually operate large recommenders — RecSys 2025's Diamond supporters were Google, Netflix Research, Amazon Science, AppLovin, Aampe and Xiaohongshu
  • Student registration is a fraction of the full rate ($325 early-bird), which keeps the PhD pipeline in the room

Industries Represented

E-commerceStreaming MediaAdvertising TechnologyTravel and HospitalitySocial PlatformsAcademic Research

Pricing Details

Registration is open in three periods (USD). Early-bird through 17 August 2026: ACM/SIGCHI member $800 main conference / $950 main plus workshops and tutorials; non-member $950 / $1,200; student $325 / $400. Standard, 18 August to 27 September: member $950 / $1,100; non-member $1,100 / $1,350; student $375 / $450. On-site after 27 September: member $1,050 / $1,200; non-member $1,200 / $1,450; student $425 / $500. Main-conference registration covers the three main days (Tuesday to Thursday) plus two social events; student rates require ACM student membership. Authors must register by 17 August for their papers to appear in the proceedings.

Organizer

A

ACM SIGCHI

sigchi.org/

Frequently Asked

When is RecSys 2026?
RecSys 2026 takes place September 28 – October 2, 2026 in Minneapolis, Minnesota.
Where is RecSys 2026 held?
RecSys 2026 is held in Minneapolis, Minnesota. The event format is in-person.
How much does RecSys 2026 cost?
RecSys 2026 is paid. Registration is open in three periods (USD). Early-bird through 17 August 2026: ACM/SIGCHI member $800 main conference / $950 main plus workshops and tutorials; non-member $950 / $1,200; student $325 / $400. Standard, 18 August to 27 September: member $950 / $1,100; non-member $1,100 / $1,350; student $375 / $450. On-site after 27 September: member $1,050 / $1,200; non-member $1,200 / $1,450; student $425 / $500. Main-conference registration covers the three main days (Tuesday to Thursday) plus two social events; student rates require ACM student membership. Authors must register by 17 August for their papers to appear in the proceedings.
Who should attend RecSys 2026?
RecSys 2026 is aimed at Machine Learning Engineer, Research Scientist, Data Scientist, Head of Personalization / Recommendations, VP of Engineering, Applied ML Practitioner, Product Manager (Search & Discovery), PhD Student.
What topics does RecSys 2026 cover?
RecSys 2026 covers Recommender Systems, Generative and Reasoning-Based Recommendation, Conversational and Context-Aware Recommenders, Evaluation Methodologies Beyond Accuracy, Fairness, Diversity and Bias Mitigation, Explainability, Transparency and User Control, Reproducibility and Benchmarking, Multi-Stakeholder and Cross-Domain Recommendation, Human-Centered and Interactive Recommendation, Large-Scale Deployment and Real-World Applications.

Sources

This page was written from 6 sources, 1 on domains other than recsys.acm.org.

  1. 1.recsys.acm.orgrecsys26vendor
  2. 2.recsys.acm.orgregistrationvendor
  3. 3.recsys.acm.orgcallvendor
  4. 4.recsys.acm.orgsponsorsvendor
  5. 5.recsys.acm.orgstatisticsvendor
  6. 6.sigchi.orgrecsys 2026
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