[iva] ACM RecSys 2022 - Call for Late-Breaking Results

[acmrecsys at gmail.com]

* We apologize if you receive multiple copies of this CfP *
* For the online version of this Call, visit: https://recsys.acm.org/recsys22/call/lbr *

We are pleased to invite you to contribute to the 16th ACM Conference on Recommender Systems (RecSys 2022), the premier venue for research on the foundations and applications of recommendation technologies. The upcoming RecSys conference will be held from September 18–23, 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. All accepted papers will be published by ACM.

The Late-Breaking Results (LBR) track of RecSys offers an opportunity for presenting new, interesting, preliminary results and speculative or innovative work in progress. The track seeks novel contributions that should be published immediately, because they will influence the work of others. The topics listed in the main-track call for papers serve as a reference, but we also encourage submissions with clear relevance to recommender systems that extend this list.

Accepted contributions for this track will be presented as posters, where the informal setting encourages presenters and participants to engage in lively discussions about the presented work. All submissions should convey a scientific result or work in progress that is not yet ready to be published as a research paper at a refereed conference, but the preliminary results are already interesting.

Accepted submissions will be published as extended abstracts in the ACM RecSys 2022 conference proceedings.

SUBMISSION GUIDELINES
Submissions should report on new and preliminary contributions. The maximum length is 7 pages (excluding references) in the new single-column format.

All submissions and reviews will be handled electronically. Submissions must be submitted to PCS by 23:59, AoE (Anywhere on Earth) on July 5th, 2022.

In addition to these guidelines, the guidelines in the main-track call for papers apply for Formatting, Anonymity, Ethical Review for Human-Subjects Research, Originality, Plagiarism and Patenting. Please make sure that you have read and understood those.

SIGCHI SUBMITTER AGREEMENT
RecSys 2022 is a SIGCHI conference and making a submission to a SIGCHI conference is a serious matter. Submissions require time and effort by SIGCHI volunteers to organise and manage the reviewing process, and, if the submission is accepted, the publication and presentation process. Thus, anyone who submits to RecSys 2022 implicitly confirms the following statements:

1. I confirm that this submission is the work of myself and my co-authors.
2. I confirm that I or my co-authors hold copyright to the content, and have obtained appropriate permissions for any portions of the content that are copyrighted by others.
3. I confirm that any research reported in this submission involving human subjects has gone through the appropriate approval process at my institution.
4. I confirm that if this paper is accepted, I or one of my co-authors will present the paper at the conference, either in person or through a conference-designated remote presentation option. Papers that are not presented at the conference by an author may be removed from the proceedings at the discretion of the program chairs.

IMPORTANT DATES
* LBR abstract deadline: July 2nd, 2022
* LBR submission deadline: July 5th, 2022
* LBR notifications: July 22nd, 2022
* LBR camera-ready paper: July 29th, 2022

Deadlines refer to 23:59 (11:59pm) in the AoE (Anywhere on Earth) time zone.

LATE-BREAKING RESULTS CHAIRS
Ludovico Boratto, University of Cagliari, Italy
Pigi Kouki, RelationalAI, USA
Tanu Mitra, University of Washington, USA
E-mail: lbr2022 at recsys.acm.org