Deadline Extended - July 25: RecSoGood @RecSys 2026 - Third International Workshop on Recommender Systems for Sustainability and Social Good

*** Apologies for cross postings ***

RecSoGood Workshop @RecSys 2026 - CALL FOR PAPERS

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International Workshop on Recommender Systems for Sustainability and Social
Good (RecSoGood)

28th September =E2=80=93 2nd October 2026

co-located with RecSys 2026 (https://recsys.acm.org/recsys26/) -
Minneapolis, Minnesota, USA

Web: *https://recsogood.github.io/recsogood2026/*
<https://recsogood.github.io/recsogood2026/>

Submission: through EasyChair
*https://easychair.org/conferences/?conf=3Drecsys2026workshops
<https://easychair.org/conferences/?conf=3Drecsys2026workshops>* - (by
selecting the Track "Third International Workshop on Recommender Systems
for Sustainability and Social Good")

For any information: *[email protected]
<[email protected]>*

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HIGHLIGHTS

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- DEADLINE: July 20, 2026  =E2=86=92 July 25, 2026

- Notification to authors: August 7, 2026

- Post-proceedings volume indexed in Scopus and Web of Science (Springer
volume)

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ABSTRACT

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In the rapidly evolving landscape of technology and sustainability,
leveraging Recommender Systems has emerged as a powerful tool for driving
positive change. With a foundation in AI and data analytics, Recommender
Systems can be effective in various domains, from e-commerce to energy
management and well-being. By harnessing the power of recommendation
algorithms under a holistic perspective, organizations and researchers can
guide users towards more sustainable choices and behaviors, contributing to
broader environmental and social goals. With this aim, our workshop
provides a unique platform for researchers, practitioners, and stakeholders
to explore the integration of sustainability principles into Recommender
Systems. Through presentations, discussions, and panels, participants will
explore the theoretical foundations, practical implementations, and ethical
and environmental considerations of sustainable Recommender Systems. By
fostering collaboration and knowledge exchange, the workshop aims to
catalyze innovation and inspire collective action towards a more
sustainable future.

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TOPICS

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Topics of interests include but are not limited to:


1)Sustainable Recommender Systems Development:

=E2=80=93 Multi-criteria Recommender Systems
=E2=80=93 Multistakeholder Recommender Systems
=E2=80=93 Energy efficient and low-carbon model learning
=E2=80=93 Generative AI=E2=80=99s Impact on sustainable Recommendation Syst=
ems
=E2=80=93 User interfaces for sustainable Recommender Systems


2)Sustainable Recommender Systems Features:

=E2=80=93 Explainability & trustworthy
=E2=80=93 Privacy and safety
=E2=80=93 Diversity and inclusion
=E2=80=93 Behavioural change


3)Evaluation of Sustainable Recommender Systems:

=E2=80=93 Long-term effect of Recommender Systems
=E2=80=93 Simulation techniques
=E2=80=93 Beyond accuracy evaluation


4)Application Areas:

=E2=80=93 Health
=E2=80=93 Media and information
=E2=80=93 Travel and tourism
=E2=80=93 Agriculture


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SUBMISSIONS

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We encourage the submission of original contributions, investigating how
Recommender Systems can contribute to a more sustainable and responsible
technology ecosystem, aligning with the broader goals of achieving
economic, social, and environmental sustainability. In particular, authors
can submit:

(A) Full papers (max. 12 + references - Springer LLNCS format);

(B) Reproducibility papers (max. 12 + references - Springer LLNCS format);

(C) Short papers (max 6 pages + references - Springer LLNCS format);

(D) Position papers (max. 4 + references - Springer LLNCS format);

(E) Extended abstract (max 1 page + references - ORAL PRESENTATION ONLY).

To enable potential attendees to articulate their views on the topics of
the workshop, share already-published works, bring awareness to ongoing
European projects in this area, etc., we will also elicit *1 page-extended
abstracts*. This type of informal submission will be editorially reviewed
by workshop organizers. Accepted contributions will be presented at the
workshop, but not published in the proceedings.

Submission: through EasyChair
*https://easychair.org/conferences/?conf=3Drecsys2026workshops
<https://easychair.org/conferences/?conf=3Drecsys2026workshops>* - (by
selecting the Track "Third International Workshop on Recommender Systems
for Sustainability and Social Good")

All submitted papers will be evaluated by at least two members of the
program committee, based on originality, significance, relevance, and
technical quality. Papers should be formatted according to the Springer
LLNCS Style: (
https://www.springer.com/gp/computer-science/lncs/conference-proceedings-gu=
idelines
)

Submissions should be single blinded. Submissions must be made through the
EasyChair conference system prior to the specified deadline (all deadlines
refer to GMT) by selecting RecSoGood as submission track. At least one of
the authors should register and take part at the conference to make the
presentation.

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IMPORTANT DATES

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* Paper submission deadline: July 20, 2026  =E2=86=92 July 25, 2026

* Notification to authors: August 7, 2026

* Camera-Ready submission: TBD for post-proceedings in a volume published
by Springer, in the CCIS Series.

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PROCEEDINGS AND POST-PROCEEDINGS

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All accepted papers will be published in a proceedings volume indexed in
Scopus and Web of Science.

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ORGANIZATION

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*Ludovico Boratto *- Associate Professor - University of Cagliari, Italy

E-mail: *[email protected]* <[email protected]>

*Allegra De Filippo (main contact)* - Assistant Professor - University of
Bologna, Italy

E-mail: *[email protected]* <[email protected]>

*Angelo Geninatti Cossatin* - PostDoc - University of Torino, Italy

E-mail: *[email protected]*
<[email protected]>

*Elisabeth Lex *- Associate Professor - Graz University of Technology,
Austria

E-mail: *[email protected]* <[email protected]>

*Noemi Mauro* =E2=80=93 Tenure-Track Assistant Professor =E2=80=93 Universi=
ty of Torino,
Italy

E-mail: *[email protected]* <[email protected]>

*Giuseppe Spillo* - PostDoc - University of Bari, Italy

E-mail: *[email protected]* <[email protected]>

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