Call: ACM RecSys 2022 - Industry Talk Proposals

We are pleased to invite you to contribute to the 16th ACM Conference on Recommender Systems (RecSys 2022), the premier venue for research and applications of recommendation technologies. The upcoming RecSys conference will be held from September 18 to 23, 2022 in Seattle, WA, USA, with an inclusive format that accommodates remote attendance. The conference will continue RecSys’ practice of connecting researchers, practitioners, and students to exchange ideas, frame problems, and share solutions across a range of specialties concerned with recommendation

Industry practitioners are invited to submit proposals to the RecSys industry track for a conference presentation. The industry track is focused on challenges and practical solutions to significant real-world issues faced by industry practitioners. We encourage submissions that describe substantial real-world challenges and novel deployed systems that power recommendations in commercial settings. This includes design and interaction aspects of recommender systems. We also recognize that diverse speaker backgrounds and topics facilitate richer discussions at the conference, therefore we especially encourage colleagues from backgrounds that are under-represented in the conference series to submit talk proposals.

All submissions will be reviewed by the Industry chairs. Factors taken into account during the selection process include relevance to real-world challenges, novelty, and contribution to the community. Shared data sets and code are encouraged, as are insights into quantitative and/or qualitative evaluation results. Real-world impact and ethical considerations of the systems described will also be taken into account. Note that proposals consisting of sales pitches for products will not be considered.

Examples of talk topics include, but are not limited to:

* Lessons learned from real-world deployment of recommender systems including case studies, retrospectives, and user studies.
* Societal impact, fairness and bias of recommender systems in the real world.
* Novel recommender system applications.
* Novel techniques that solve significant issues in production deployment.
* Online and offline metrics used to evaluate recommender systems and studies of their interaction in production settings.
* Design and interaction aspects of recommender systems.
* Holistic overviews or component deep dives of recommender system pipelines including ETL, candidate generation, research and production training, feature stores and inference.
* Privacy preserving recommendation systems in production, e.g. using federated learning
* System and algorithm scalability and performance
* Other challenges faced by practitioners that are under-studied in the research community and their practical solutions.

Authors of the selected proposals will give an oral presentation in the Industry Track and be invited to present a poster at the conference poster sessions. Extended abstracts will also be published in the conference proceedings.

SUBMISSION GUIDELINES

All submissions and reviews will be handled electronically. Papers must be submitted to PCS by 23:59, AoE (Anywhere on Earth) on June 1st, 2022.

To allow for preparation of the conference’s online presence, we might request audiovisual material, such as a recording of the talk, two weeks before the conference start date.

Formatting
ACM’s archival publication format separates content from presentation in the Digital Library to enhance accessibility and improve the flexibility and resiliency of our publications. Following the ACM publication workflow, all authors should submit manuscripts for review in a single-column format. Instructions for Word and LaTeX authors are given below:

* Microsoft Word: Write your proposal using the Submission Template (Review Submission Format). Follow the embedded instructions to apply the paragraph styles to your various text elements. The text is in single-column format at this stage and no additional formatting is required at this point.
* LaTeX: Please use the latest version of the Primary Article Template – LaTeX to create your submission. You must use the “manuscript” option with the \documentclass[manuscript]{acmart} command to generate the output in a single-column format which is required for review. Please see the LaTeX documentation and ACM’s LaTeX best practices guide for further instructions. To ensure 100% compatibility with The ACM Publishing System (TAPS), please restrict the use of packages to the whitelist of approved LaTeX packages.

A document with some frequently asked questions can be found here.

Authors are strongly encouraged to provide “alt text” (alternative text) for floats (images, tables, etc.) in their content so that readers with disabilities can be given descriptive information for these floats that are important to the work. The descriptive text will be displayed in place of a float if the float cannot be loaded. This benefits the author as well as it broadens the reader base for the author’s work. Moreover, the alt text provides in-depth float descriptions to search engine crawlers, which helps to properly index these floats. Additionally, authors should follow the ACM Accessibility Recommendations for Publishing in Color and SIG ACCESS guidelines on describing figures.

Should you have any questions or issues going through the instructions above, please contact support at acmtexsupport@aptaracorp.com for both LaTeX and Microsoft Word inquiries.

Accepted proposals will be later submitted to ACM’s new production platform where authors will be able to review PDF and HTML output formats before publication.

Contents
Industry talk proposals must include the following:

* Title and abstract of the proposal presentation
* Short CV of the presenter(s) (up to 300 words)

Anonymity
Submissions are not anonymized. Please include information identifying the authors and their organization.

IMPORTANT DATES

* Proposal submission deadline: June 1st, 2022
* Author notification: June 29th, 2022
* Camera-ready version deadline: July 27th, 2022

INDUSTRY CHAIRS

Justin Basilico, Netflix, United States
Keld Lundgaard, Salesforce, United States
Even Oldridge, NVIDIA, Canada