Call for Industry Day Presentations
The Industry Day of ECIR 2025 will be held on April 10th, 2025 in Lucca, Italy, immediately after the main conference program. Our goal is to bring together the practitioners and researchers in the Information Retrieval field to promote knowledge sharing and innovation across academia and industry.
The theme of the ECIR 2025 Industry Day will be Systems combining Information Retrieval and Generative AI. Foundation models have revolutionized the field of AI and their increasing ability to answer complex, knowledge-seeking questions has made them a competitor in the space traditionally occupied by search engines and recommender systems.
We are interested in how generative models are influencing and complementing IR systems’ design and implementation as well as how IR components are being incorporated into foundation model-powered applications through techniques such as retrieval-augmentation and tool use. We are interested in both the open research questions and the scalability trade-offs that need to be considered when implementing such systems in the industrial environment.
Similarly to previous years, we encourage presentations of research works carried out during student internships and showing how interns contributed impact on real-world products with innovative ideas.
We encourage submissions following this year’s theme, in topics relevant to ECIR in general. Relevant topics include, but are not limited to:
- User aspects, including information interaction, contextualisation, personalisation, simulation, characterisation, and behaviours;
- System and foundational aspects, including retrieval models and architectures, content analysis and classification, recommendation algorithms, query processing and ranking, efficiency and scalability;
- Machine learning, deep learning and neural models, natural language processing, and graph models applied to information retrieval, recommender systems and interaction;
- Conversational search systems, focusing on natural language understanding and generation, dialogue management, multimodal interaction, and user engagement in the search processes;
- Explainability methods, addressing the transparency, interpretability, and accountability of AI-driven systems, particularly for information retrieval, recommendation, and personalisation;
- Applications, such as web search, recommender systems, web and social media apps, professional and domain-specific search, novel interfaces to search tools, intelligent search, and conversational agents;
- Evaluation, including new metrics and novel methods for the measurement and evaluation of retrieval systems, users, and/or applications.
- Social and technical challenges, such as bias, ethics, fake news and hate speech, IR-focused trustworthy & explainable AI methodologies and techniques.
Accepted industry track contributions will be presented at the Industry Day, and the corresponding proposal will be published as a 4-page (excl. references) scientific paper detailing the presentation and its contributions in the official ECIR 2025 proceedings.
Submission Guidelines
Proposals are limited to 4 pages, excluding references. Proposals should include:
- Title, abstract, and contents of the work.
- Submissions should focus on business and product context, as well as the solutions that were deployed and the research that went into it. We particularly encourage authors to include practical lessons learned.
- A short CV of the presenter(s) (up to 150 words)
- A short description of the company (up to 100 words)
There will be a lightweight evaluation procedure where the main focus will lie on the interest for the ECIR audience and the cross-over between academia and industry.
Authors should consult Springer’s authors’ guidelines and use their proceedings templates, either for LaTeX or for Word (to be found at https://www.springer.com/gp/computer-science/lncs/conference-proceedings-guidelines), for the preparation of their papers. Springer encourages authors to include their ORCIDs in their papers (https://www.springer.com/gp/authors-editors/orcid).
All submissions must be written in English. All papers should be submitted electronically through the EasyChair submission system (https://easychair.org/conferences/?conf=ecir2025).
A 4-page (excl. references) scientific paper of accepted proposals (excl. CV and company description) will be published in the Springer Lecture Notes in Computer Science series conference proceedings. The corresponding author of each accepted paper, acting on behalf of all authors of that paper, must complete and sign a Consent-to-Publish form. The corresponding author signing the copyright form should match the corresponding author marked on the paper. Once the paper has been submitted, changes relating to its authorship cannot be made. The proceedings will be distributed to all delegates at the conference. Accepted presentations/extended abstracts will have to be presented in person at the conference – and at least one author will be required to register.
Ethics and Professional Conduct
ECIR 2025 expects authors (as well as the PC, and the organising committee) to adhere to accepted standards on ethics and professionalism in our community, namely:
- The ACM’s Policy on Authorship,
- The ACM’s Code of Ethics and Professional Conduct,
- The ACM’s Conflict of Interest Policy,
- The ACM’s Policy on Plagiarism, Misrepresentation, and Falsification,
Important Dates
- Industry day proposals submission: November 13, 2024, 11:59 pm (AoE)
- Notification: December 16, 2024
- Industry Day: April 10, 2025
Industry Day Chairs
- Aleksandra Piktus, Cohere
- Amin Mantrach, Amazon
- Contact: ecir2025-industry AT easychair.org