[AISWorld] [CFS] Call for Sponsorship - ACM RecSys Challenge 2025
Marco Polignano
marco.polignano at uniba.it
Tue Apr 9 12:30:30 EDT 2024
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* CALL FOR SPONSORHIP - *ACM RecSys Challenge 2025
**
*https://recsys.acm.org/recsys24/challenge/
*
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*
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*The ACM Conference on Recommender Systems(RecSys)
<https://recsys.acm.org/>is the premier international forumfor
presenting new research results, systems, and techniques in the broad
field of recommender systems. RecSysbrings together the major
international research groups working on recommender systems and many of
the world’s leading companies active in e-commerce and other adjacent
domains. It has become the most important annual conference for the
presentation and discussion of recommender systems research. *
*
Every year, the RecSys Challenge has been a great success. Participants
from various backgrounds, disciplines, and backgrounds come together to
present their innovative research and findings. The challenge provides
scholars, researchers, students, and companies a platform to showcase
their work, exchange ideas, and engage in meaningful discussions. The
event fosters collaboration and networking opportunities, allowing
participants to connect with peers who share similar research interests.
The challenge has consistently received positive feedback from
presenters and attendees, highlighting its significance in the academic
community. It continues to be a valuable component of the conference,
encouraging the advancement of knowledge and the exploration of new ideas.
The RecSys Challenge 2025will provide an unparalleled opportunity for
participants to demonstrate their expertise in the Recommender Systems
field. It will attract a diverse group of professionals, researchers,
and students worldwide. By sponsoring this event, a company will have
the unique opportunity to showcase its support for advancing the
knowledge in RecSys, actively supporting the whole community while also
gaining exposure to a global audience of industry leaders and
decision-makers. In addition to the visibility and brand exposure, your
sponsorship will demonstrate your company's commitment to fostering
talent and innovation within the industry. Furthermore, it will provide
an excellent platform to network with key stakeholders, potential
partners, and top talent in the field.
*
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*We are now open to receiving your Challenge Proposal! *
*
As a sponsor, you will have benefits:
1.
Great corporate visibility worldwide
2.
Gainingcontacts with a vibrant scientific communityon recommendation
topics
3.
Corporate logo on the RecSys Conference webpageand all communication
materials.
4.
Receive a specialSponsorship Tier,and you will also have access to
all the solutions
5.
Ask researchers from around the world to solve a recommendation
problem relevant to your business
6.
Two publishedscientific articlesabout the challenge task (one in the
Main ACM RecSys Proceedings, one in the Workshop Proceedings)
but also duties. Indeed, the sponsor is responsible for:
1.
Define the topic of the challenge.
2.
Release and Managea robust, anonymized, timely, detailed,
documented, and relevant dataset containing A Large Amount of
Real-Domain Data. It should be released with a Creative Common
License and left available after the challenge's end for future
research on the topic.
3.
Define the evaluation metrics and protocoland manage a submission
leaderboard.
4.
Manage a dedicated Websitethat should be maintained and left active
after the challenge's end to manage the data distribution,
submissions, leaderboard and communication with participants.
5.
Upon completion of the event, the company, supported by challenge
chairs, shall decide the winner(s) based on defined objective metrics.
6.
Support the Challenge with monetary prizesfor participants
(lucrative enough to attract many participants) and by paying
challenge workshop proceeding fees.
*
*================================================*
*
*
*The success of the research challenge is a testament to the dedication
and hard work of all those involved, and it serves as a source of
inspiration for future generations of researchers.*
*
Just to give a few examples:
*
TheRecSys 2024 Challengewill be organized by Johannes Kruse and
Kasper Lindskow (Ekstra Bladet <https://ekstrabladet.dk/>), Anshuk
Uppal, Michael Riis Andersen, and Jes Frellsen (Technical University
of Denmark <https://www.dtu.dk/english/>), Marco Polignano
(University of Bari Aldo Moro, Italy <http://www.uniba.it/>),
Claudio Pomo (Politecnico di Bari, Italy <http://www.poliba.it/>),
and Abhishek Srivastava (IIM Visakhapatnam, India
<https://iimv.ac.in/faculty/profile/abhishek>) based on the data
provided by Ekstra Bladet. This year’s challenge focuses on online
news recommendation, addressing both the technical and normative
challenges inherent in the design of effective and responsible
recommender systems for news publishing.
**
*
The RecSys 2023Challenge <https://www.recsyschallenge.com/2023/>,
organized by Rahul Agarwal and Sarang Brahme (ShareChat), Abhishek
Srivastava (IIM Visakhapatnam, India), Liu Yong (Huawei, Singapore),
and Athirai Irissappane (Amazon, USA) focus on online advertising,
deep funnel optimization, and user privacy. Online advertising has
evolved from banner-based to deep funnel optimization, requiring
extensive personalization and raising user privacy issues. The
challenge provides a real-world ad dataset from ShareChat
<https://sharechat.com/>and Moj appsto benchmark research into deep
funnel optimization with a focus on user privacy.
**
*
The RecSys Challenge 2022
<https://www.recsyschallenge.com/2022/>focuses on fashion
recommendations and was organized by Nick Landia (Dressipi), Bruce
Ferwerda (Jönköping University, Sweden), Saikishore Kalloori (ETH
Zürich, Switzerland), and Abhishek Srivastava (IIM Visakhapatnam,
India). The challenge involves predicting the purchased item in a
session based on a sequence of item views and label data for those
items. Dressipi <https://dressipi.com/>released a public dataset of
1 million online retail sessions with labeled content data. Accurate
in-session predictions were the crucial aspects considered due to
the fast-changing nature of user preferences in the fashion domain.
*
The RecSys Challenge 2021 <https://www.recsyschallenge.com/2021/>,
organized by Politecnico di Bari, ETH Zürich, and Jönköping
University, uses a data set provided by Twitter
<https://twitter.com/>. The challenge focuses on predicting tweet
engagement (Likes, Retweets, Quotes, and Replies) in a dynamic
environment with latency constraints. The data size and density
encourage novel methods. The goal was to predict engagement types
for a target user based on heterogeneous input data while providing
fair recommendations, considering accuracy and fairness as
challenges for the recommendation community.
*
*================================================*
**
*If you are interested, reach us by email:challenge2024 at recsys.acm.orgby
sending a document deeply describing the following aspects:*
***
*
Title of the proposed challenge
*
Details and references of proposers
*
Persons to be commissioned and their background (brief CV)
*
Motivations
*
Objectives
*
Novelty of the task
*
Description of dataset
*
Evaluation protocol
*
Awards and their allocation to the top-ranked participants (academic
and corporate side)
*
Practical support provided and platforms for managing the challenge
*
Contacts (including contact person details, phone number, return
email address)
The call will be open until August 31st, 2024. We will contact you with
our decision by the end of September 2024.
Best Regards,
RecSys Challenge 2024 Chairs
* Marco Polignano
<http://www.di.uniba.it/~swap/index.php?n=Membri.MarcoPolignano>,
University of Bari Aldo Moro, Italy
Claudio Pomo <https://sisinflab.poliba.it/pomo>, Politecnico di Bari, Italy
Abhishek Srivastava <https://www.iimv.ac.in/faculty/profile/abhishek>,
IIM Visakhapatnam
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