DRIVING SUSTAINABILITY WITH RECOMMENDER SYSTEMS
Second International Workshop on Recommender Systems for Sustainability and Social Good (RecSoGood 2025)
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, inclusion and well-being. By harnessing the power of recommendation algorithms under a multi-stakeholder perspective, organizations and researchers can guide users towards more sustainable choices and behaviors, contributing to broader environmental and social goals.
Key Impact & Collaborations
RecSoGood 2025 builds on a legacy of impactful research and community engagement, fostering innovation for a sustainable future.
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Workshop Edition
Deep Analysis & Enterprise Applications
Select a topic to dive deeper, then explore the specific findings from the research, rebuilt as interactive, enterprise-focused modules.
Motivation & Relevance
Topics of Interest
Vision & Objectives
Desired Outcomes
Relevance to RecSys & Sustainability
UN defines sustainability as a development process capable of "meeting the needs of the present without compromising the ability of future generations to meet their own needs". It is an increasingly pressing global issue, and technology, including Recommender Systems (RS), has a role to play in addressing it. Proposing this workshop on sustainability to the RS community has several compelling reasons:
- Impact: RS significantly influence user behavior and consumption patterns. By incorporating sustainability criteria into recommendation algorithms, we can promote more environmentally friendly, inclusive and socially responsible choices, ultimately contributing to broader sustainability goals.
- Opportunity for Innovation: Sustainability presents a new frontier for innovation within the field of RS. By exploring how recommendation technologies can be leveraged to support sustainability objectives, we open up opportunities for research, development, and experimentation in this emerging area.
- Community Engagement: Engaging the RS community in discussions around sustainability fosters awareness and collaboration on this topic. By bringing together researchers, practitioners, and industry professionals, we can leverage collective expertise to develop innovative solutions and best practices for integrating sustainability into RS.
Key Topics for Discussion
Submissions should focus on the sustainability perspective, and key topics of interest include but are not limited to:
- Sustainable Recommender Systems Development: Multi-criteria RS, Multistakeholder RS, Energy efficient and low-carbon model learning, Generative AI's Impact on sustainable RS, User interfaces for sustainable RS.
- Sustainable Recommender Systems Features: Explainability & trustworthy, Privacy and safety, Diversity and inclusion, Behavioural change.
- Evaluation of Sustainable Recommender Systems: Long-term effect of RS, Simulation techniques, Beyond accuracy evaluation.
- Application Areas: Health, Media and information, Travel and tourism, Agriculture.
Workshop Vision & Objectives
We propose a second edition of this workshop to collect contributions and bridge the gap between recent advances in RS and their impact in terms of sustainability. Our main objectives are:
- Increase awareness within the RS community about the importance of sustainability and the potential role of recommendation technologies in supporting sustainability goals.
- Facilitate interdisciplinary dialogue and collaboration among researchers, practitioners, and industry professionals from diverse fields, including RS, sustainability science, ethics, and human-computer interaction.
- Identify key challenges and barriers to integrating sustainability into RS, including technical, ethical, and societal considerations, and explore potential solutions and mitigation strategies.
- Encourage innovative approaches and methodologies for designing and implementing sustainable RS, leveraging cutting-edge technologies and interdisciplinary insights.
- Inspire participants to take concrete actions to incorporate sustainability principles into their research and development of RS, fostering a culture of responsibility and accountability within the community.
Expected Workshop Outcomes
We expect the workshop to generate consistent outcomes by:
- Collecting papers, i.e. workshop proceedings, with new contributions on emerging aspects in this research area, with plans to publish on a volume of the CCIS series by Springer.
- Collecting the presentations associated with the accepted papers, to be shared on the workshop website for engaging discussions.
- Publishing extended versions of the most relevant workshop papers in a special issue of a top-tier journal right after the workshop.
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Targeted Paper Submissions
We aim to collect at least 10 papers falling into the full and reproducibility categories and at least 3 papers belonging to short and position categories, ensuring robust proceedings.
Enterprise Process Flow: Workshop Structure
Opening Remarks
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Academic Keynote
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Spot Thematic Session 1
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Coffee Break
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Spot Thematic Sessions 2 & 3
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Panel and Open Discussion
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Closing Remarks
Calculate Your Potential AI Impact
Understand the tangible benefits of integrating AI for sustainability in your organization. Estimate potential savings and reclaimed hours.
Annual Savings
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Your Roadmap to Sustainable AI
Our workshop fosters a clear path from initial concept to impactful implementation, guiding participants through key phases of sustainable AI adoption.
Phase 1: Increase Awareness & Foster Dialogue
Building on our objectives, we aim to increase awareness within the RS community about sustainability's importance and facilitate interdisciplinary dialogue among researchers, practitioners, and industry professionals.
Phase 2: Identify Challenges & Encourage Innovation
We will identify key challenges and barriers to integrating sustainability into RS, exploring technical, ethical, and societal considerations. This phase encourages innovative approaches for designing and implementing sustainable RS.
Phase 3: Inspire Action & Publish Knowledge
Participants are inspired to take concrete actions to incorporate sustainability principles into their research and development. This leads to collecting and publishing workshop proceedings with new contributions.
Phase 4: Long-Term Collaboration & Special Issues
Fostering a culture of responsibility and accountability, this phase involves disseminating accepted papers, planning future editions, and publishing extended versions in top-tier journal special issues, driving continuous impact.
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