Full Day Workshops

SIGIR 2025 Workshop on eCommerce (ECOM25)

Organizers: Yubin Kim, Tracy Holloway King, Aditya Chichani, Pallavi Gudipati and Andrew Trotman.

Overview: The SIGIR Workshop on eCommerce will serve as a platform for publication and discussion of Information Retrieval, NLP, and Computer Vision research relative to their applications in the domain of eCommerce. This workshop will bring together practitioners and researchers from academia and industry to discuss the challenges and approaches to product search and recommendation in eCommerce. Recently, the rapid evolution of emerging technologies, including large language models (LLMs) and generative AI, has introduced fresh opportunities and challenges for eCommerce search and recommendations. As many organizations race to adopt new technology, the knowledge required to tackle the practical challenges of productionization risks becoming siloed. Avoiding this requires continued dialogue between IR academia and industry, and across various eCommerce organizations. The goal of our workshop is to bridge these gaps and foster collaboration for this crucial exchange of information. To support this goal, the special theme of ECOM25 is From Research to Product: Challenges, Lessons, and Opportunities in eCommerce Search and Recommendations.

Website:https://sigir-ecom.github.io/

Submission site:https://openreview.net/group?id=ACM.org/SIGIR/2025/Workshop/eCom#tab-your-consoles

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LLM4Eval: Large Language Model for Evaluation in IR

Organizers: Clemencia Siro, Hossein A. Rahmani, Mohammad Aliannejadi, Nick Craswell, Charles Clarke, Guglielmo Faggioli, Bhaskar Mitra, Paul Thomas and Emine Yilmaz.

Overview: The Third Workshop on LLM4Eval progresses the discussion from the previous series. These earlier events investigated the potential and challenges of using LLMs for search relevance evaluation, automated judgments, and retrieval-augmented generation (RAG) assessment. As modern IR systems integrate search, recommendations, conversational interfaces, and personalization, new evaluation challenges arise beyond basic relevance assessment. These applications create personalized rankings, explanations, and adapt to user preferences over time, requiring new evaluation methods. While LLMs can effectively generate relevance judgments, they struggle with assessing subjective aspects of IR systems, such as interaction quality, explanation effectiveness, and trustworthiness, often requiring human judgment. The main goal of the third LLM4Eval workshop is to bring together researchers from industry and academia to explore three critical areas: the evaluation of personalized IR systems while maintaining fairness, the boundaries between automated and human assessment in subjective scenarios, and evaluation methodologies for systems that combine multiple IR paradigms (search, recommendations, and dialogue).

Website:https://llm4eval.github.io/SIGIR2025/

Submission site:https://easychair.org/conferences/?conf=llm4evalsigir25

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Second SIGIR Workshop on Simulations for Information Access (Sim4IA 2025)

Organizers: Philipp Schaer, Christin Katharina Kreutz, Krisztian Balog, Timo Breuer and Andreas Kruff.

Overview: Simulations in information access (IA) have recently gained interest, as shown by various tutorials and workshops around that topic. Simulations can be key contributors to central IA research and evaluation questions, especially around interactive settings when real users are unavailable, or their participation is impossible due to ethical reasons. In addition, simulations in IA can help contribute to a better understanding of users, reduce complexity of evaluation experiments, and improve reproducibility. Building on recent developments in methods and toolkits, the second iteration of our Sim4IA workshop aims to again bring together researchers and practitioners to form an interactive and engaging forum for discussions on the future perspectives of the field. An additional aim is to plan an upcoming TREC/CLEF campaign.

Website:https://sim4ia.org/sigir2025/

Submission site:https://easychair.org/conferences?conf=sim4ia-sigir2025

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2nd Workshop on Information Retrieval for Understudied Users (IR4U2) - Bridging User-centered AI with IR: Making Information Retrieval Accessible for All

Organizers: Noemi Mauro, Angelo Geninatti Cossatin, Maria Soledad Pera, Federica Cena, Theo Huibers, Monica Landoni and Emiliana Murgia.

Overview: Information Retrieval (IR) remains an active, fast-paced area of research. Nevertheless, the majority of advancements in this domain have primarily favored what we might term ‘conventional’ users, such as adults from the global north. We envision the 2^nd Workshop on Information Retrieval for Understudied Users (IR4U2) as a platform to highlight information retrieval (IR) research that directly impacts often understudied user groups. In this second iteration of the workshop, we will focus more specifically on a user-centred AI perspective, which we believe is vital for informing the design, development, and assessment of information retrieval systems that thoughtfully address the diverse needs of understudied populations, ensuring genuine accessibility and inclusivity. The objectives of IR4U2 are: (1) to build community and awareness by sharing AI and IR developments that serve underrepresented user groups in this research area; (2) to identify challenges and open issues along with lessons learned and challenges inherent to this area of research; and (3) to spark discussions that establish common frameworks for future research.

Website:https://ir4u2workshop.wixsite.com/ir4u2-2

Submission site:https://easychair.org/conferences?conf=ir4u20

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International Workshop on Algorithmic Bias in Search and Recommendation (BIAS)

Organizers: Alejandro Bellogin, Ludovico Boratto, Styliani Kleanthous, Elisabeth Lex, Francesca Maridina Malloci and Mirko Marras.

Overview: Creating efficient and effective search and recommendation algorithms has been the main objective of industry practitioners and academic researchers over the years. However, recent research has shown how these algorithms trained on historical data lead to models that might exacerbate existing biases and generate potentially negative outcomes. Defining, assessing, and mitigating these biases is a primary step for devising search and recommendation algorithms that can be responsibly deployed in real-world applications. This workshop aims to foster discussions in this field and offer a common ground for interested researchers and practitioners.

Website:https://biasinrecsys.github.io/sigir2025

Submission site:https://easychair.org/conferences/?conf=bias2025

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6th Workshop on Patent Text Mining and Semantic Technologies (PatentSemTech2025)

Organizers: Ralf Krestel, Hidir Aras, Linda Andersson, Florina Piroi, Allan Hanbury and Dean Alderucci.

Overview: Information retrieval systems for the patent domain have a long history. They can support patent experts in a variety of daily tasks: from analyzing the patent landscape to support experts in the patenting process and large-scale information extraction. Advances in machine learning and natural language processing allow to further automate tasks, such as paragraph retrieval, question answering (QA) or even patent text generation. Compared to other domains, high quality, semi-structured, annotated data is available in large volumes (a requirement for supervised machine learning models), making training large models easier. On the other hand, domain-specific challenges arise, such as very technical language or legal requirements for patent documents. With the 6th edition of this workshop we will provide a platform for researchers and industry to discuss recent developments for semantic patent retrieval employing sophisticated methods ranging from patent text mining, domain-specific information retrieval to large language models targeting next generation applications and use cases for the IP and related domains.

Website:http://ifs.tuwien.ac.at/patentsemtech/

Submission site:https://easychair.org/conferences/?conf=patentsemtech2025

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Workshop on Explainability in Information Retrieval

Organizers: Maria Heuss, Catherine Chen, Avishek Anand, Carsten Eickhoff and Suzan Verberne.

Overview: As models grow more complex and societal demands for transparency increase with emerging regulations, explainability has become an even more important research area. However, despite its recognized relevance, explainability research in IR has seen slower progress than in related fields. This full day workshop aims to advance research in explainable information retrieval by providing a more in-depth platform to reflect on recent developments and facilitate discussions to address new and persistent challenges. Our goal is to bring together a diverse group of researchers to build a shared understanding of key tasks and challenges that will lay the foundation for the future of explainable IR research.

Website:https://xirworkshop.github.io/

Submission site:https://easychair.org/conferences2/submissions?a=34098054

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IR-RAG: Workshop on Information Retrieval's Role in RAG Systems

Organizers: Negar Arabzadeh, Ziheng Chen, Fabio Petroni, Federico Siciliano, Fabrizio Silvestri and Giovanni Trappolini.

Overview: In recent years, Retrieval-Augmented Generation (RAG) systems have become a cornerstone of artificial intelligence, attracting considerable attention in a variety of fields. By integrating the strengths of information retrieval and generative models, these systems have shown immense potential to push the boundaries of machine learning applications. Nevertheless, RAG systems still face significant challenges and offer ample room for advancement and innovation. We invite papers that rethink and prioritise the fundamental aspects of RAG systems, particularly in strengthening the information retrieval component. Through this workshop, we aim to gain deeper insights into how improved retrieval methods can enhance the performance and reliability of RAG systems.The event will bring together leading experts, researchers and practitioners to provide a collaborative platform for exchanging ideas, sharing results and fostering innovation. Our aim is to stimulate research and discussion that reaffirms the essential role of information retrieval in shaping the next generation of generative systems.

Website:https://coda.io/@rstless-group/ir-rag-sigir25

Submission site:https://easychair.org/conferences?conf=irragsigir25

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ReNeuIR at SIGIR 2025: The Fourth Workshop on Reaching Efficiency in Neural Information Retrieval

Organizers: Sebastian Bruch, Maik Fröbe, Tim Hagen, Franco Maria Nardini and Martin Potthast.

Overview: The fourth iteration of ReNeuIR aims to bring the community together to debate questions about the efficiency of neural search applications. As part of the workshop, a shared task will collaboratively test and improve a benchmarking framework for efficiency derived from the discussions of the first three iterations of this workshop.

Website:https://reneuir.org/

Submission site:https://easychair.org/conferences/?conf=reneuir2025

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Robust-IR @ SIGIR 2025: The First Workshop on Robust Information Retrieval

Organizers: Yu-An Liu, Haya Nachimovsky, Ruqing Zhang, Oren Kurland, Jiafeng Guo and Moshe Tennenholtz.

Overview: With the advancement of information retrieval (IR) technologies, robustness is increasingly attracting attention. When deploying technology into practice, we consider not only its average performance under normal conditions but, more importantly, its ability to maintain functionality across a variety of exceptional situations. In recent years, the research on IR robustness covers theory, evaluation, methodology, and application, and all of them show a growing trend. The purpose of this workshop is to systematize the latest results of each research aspect, to foster comprehensive communication within this niche domain while also bridging robust IR research with the broader community, and to promote further future development of robust IR.

Website:https://sigir-2025-workshop-on-robust-ir.github.io/

Submission site:https://easychair.org/conferences?conf=sigirrobustir2025

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Half Day Workshops

MANILA25: SIGIR 2025 Workshop on Information Retrieval for Climate Impact

Organizers: Bart van den Hurk, Maarten de Rijke and Flora D. Salim.

Overview: The MANILA25 workshop focuses on advancing research in IR for climate adaptation tracking. Building on its predecessor, this half-day workshop aims to bring together researchers, practitioners, and experts from academia, industry, and NGOs to address the growing challenges of tracking climate adaptation initiatives. With 2024 marking the first year exceeding 1.5°C above pre-industrial levels, the workshop emphasizes the urgent need for effective information retrieval solutions. Through invited talks, lightning presentations, and interactive breakout sessions, participants will collaboratively develop research agendas across four key areas: information needs in climate impact, search and analysis of formal and informal literature, adaptation tracking, and resources to support IR for climate impact. The workshop aims to foster community building and drive innovation in climate-focused IR solutions.

Website:https://manilaworkshop.github.io

Submission site:https://easychair.org/my/conference?conf=manila25

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AgentIR: 2nd Workshop on Agent-based Information Retrieval

Organizers: Pengyue Jia, Qingpeng Cai, Xiangyu Zhao, Ling Pan, Xin Xin, Jin Huang, Weinan Zhang, Li Zhao, Dawei Yin and Hui Yang.

Overview: Information retrieval (IR) systems are essential in modern society, aiding users to efficiently locate relevant information through query expansion, document retrieval, ranking, and re-ranking. User feedback from ranked outputs forms a dynamic interaction loop with IR systems, which can be modeled as either one-time or sequential decision-making problems. Over the past decade, deep reinforcement learning (DRL) has emerged as a promising approach to decision-making, leveraging the high model capacity of deep learning for complex tasks. While significant research has explored the application of DRL to IR tasks, several fundamental challenges remain underexplored, including the underlying information theory in DRL settings, the limitations of reinforcement learning methods for industrial IR applications, and the simulation of DRL-based IR systems. Concurrently, the advent of large language models (LLMs) has introduced new opportunities for optimizing and simulating IR systems. Building on the success of the Agent-based IR Workshop at SIGIR 2024, we propose hosting the second Agent-based IR Workshop at SIGIR 2025. This workshop will continue to provide a platform for researchers and practitioners from academia and industry to present cutting-edge advances in DRL-based and LLM-based IR systems from an agent-based perspective. By building on the foundation laid in the first workshop, the 2025 edition aims to delve deeper into emerging research challenges, foster collaborations, and explore innovative applications. Through engaging discussions and insightful presentations, the workshop seeks to further expand the boundaries of IR research and solidify its role as a premier venue for advancing agent-based IR systems.

Website:https://applied-machine-learning-lab.github.io/2nd-AgentIR-Workshop-SIGIR-2025/about

Submission site:https://easychair.org/conferences?conf=agentir2025

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The 1st NIP@IR Workshop on New Interaction Paradigms for Information Retrieval in the Era of Generative AI

Organizers: Yujia Zhou, Wei Ji, Xuri Ge, Qingyao Ai, Joemon Jose and Yiqun Liu.

Overview: The rise of generative artificial intelligence (AI), driven by breakthroughs in large language models (LLMs), has opened up transformative possibilities for information retrieval (IR), marking the dawn of a new era of interactive and conversational paradigms. This workshop, titled *New Interaction Paradigms for Information Retrieval in the Era of Generative AI*, serves as a collaborative platform for researchers and practitioners to explore the challenges and opportunities of integrating generative AI into IR systems. The workshop will focus on key tasks such as multi-turn conversational search, adaptive retrieval interfaces, and context-aware response generation, addressing crucial aspects like system design, user engagement, and evaluation methodologies. Moreover, it will tackle broader issues such as trust, transparency, and fairness, with an emphasis on the ethical implications of deploying generative AI in IR systems. Through a mix of panel discussions, poster sessions, and interactive roundtables, the workshop aims to foster critical dialogue and innovation, shaping the future of user-centric, generative AI-powered IR.

Website:https://hellozicky.github.io/nip-ir2025.github.io/

Submission site:https://easychair.org/conferences?conf=nipir2025

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GENNEXT: The Next Generation of IR and Recommender Systems with Language Agents, Generative Models, and Conversational AI

Organizers: Yashar Deldjoo, Scott Sanner, Enrico Palumbo, Hugues Bouchard, Shuai Zhang, Pablo Castells and Julian McAuley.

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FinIR: The 2nd Workshop on Financial Information Retrieval in the Era of Generative AI

Organizers: Fengbin Zhu, Yunshan Ma, Fuli Feng, Chao Wang, Huanbo Luan, Guangnan Ye, Shuo Zhang, Dhagash Mehta, Pingping Chen, Bing Xiang and Tat-Seng Chua.

Overview: Recent advancements in Generative AI, such as Large Language Models (LLMs), have demonstrated remarkable success across various general tasks. Extensive studies have explored leveraging generative models in finance, but significant challenges persist. This FinIR workshop aims to explore potential approaches and research directions to address these challenges by equipping generative models with advanced Information Retrieval (IR) models. Specifically, this FinIR workshop seeks to provide a platform for discussing innovative ideas that facilitate the advancement of IR technology to enrich generative models in finance from four key perspectives: (i) financial IR techniques, (ii) financial IR benchmarking and evaluation, (iii) financial systems and agents/assistants, (iv) and trustworthiness, privacy and security when applying financial IR and generative models. This workshop aims to deepen understanding, accelerate progress, and support the advancement of IR technology to enhance generative models to address financial challenges.

Website:https://finir2025.github.io/

Submission site:https://easychair.org/my/conference?conf=finir2025

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