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Advances in Information Retrieval

47th European Conference on Information Retrieval, ECIR 2025, Lucca, Italy, April 6–10, 2025, Proceedings, Part I

  • Conference proceedings
  • © 2025

Overview

Editors:
  1. Claudia Hauff

    1. Spotify, Amsterdam, The Netherlands

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  2. Craig Macdonald

    1. University of Glasgow, Glasgow, UK

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  3. Dietmar Jannach

    1. University of Klagenfurt, Klagenfurt, Austria

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  4. Gabriella Kazai

    1. Amazon, London, UK

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  5. Franco Maria Nardini

    1. ISTI-CNR, Pisa, Italy

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  6. Fabio Pinelli

    1. IMT Lucca, Lucca, Italy

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  7. Fabrizio Silvestri

    1. Sapienza University of Rome, Rome, Italy

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  8. Nicola Tonellotto

    1. University of Pisa, Pisa, Italy

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 15572)

Included in the following conference series:

Conference proceedings info: ECIR 2025.

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About this book

The five-volume set LNCS 15572, 15573, 15574, 15575 and 15576 constitutes the refereed conference proceedings of the 47th European Conference on Information Retrieval, ECIR 2025, held in Lucca, Italy, during April 6–10, 2025.

 

The 52 full papers, 11 findings, 42 short papers and 76 papers of other types presented in these proceedings were carefully reviewed and selected from 530 submissions. The accepted papers cover the state-of-the-art in information retrieval and recommender systems: user aspects, system and foundational aspects, artificial intelligence and machine learning, applications, evaluation, new social and technical challenges, and other topics of direct or indirect relevance to search and recommendation.

Keywords

Table of contents (29 papers)

  1. Front Matter

    Pages i-xxxi
    Download chapter PDF

  2. LIBRA: Measuring Bias of Large Language Model from a Local Context

    • Bo Pang, Tingrui Qiao, Caroline Walker, Chris Cunningham, Yun Sing Koh
    Pages 1-16

  3. Embedding Cultural Diversity in Prototype-Based Recommender Systems

    • Armin Moradi, Nicola Neophytou, Florian Carichon, Golnoosh Farnadi
    Pages 17-31

  4. Is Relevance Propagated from Retriever to Generator in RAG?

    • Fangzheng Tian, Debasis Ganguly, Craig Macdonald
    Pages 32-48

  5. Measuring Actual Privacy of Obfuscated Queries in Information Retrieval

    • Francesco Luigi De Faveri, Guglielmo Faggioli, Nicola Ferro
    Pages 49-66

  6. One Size Doesn’t Fit All: Predicting the Number of Examples for In-Context Learning

    • Manish Chandra, Debasis Ganguly, Iadh Ounis
    Pages 67-84

  7. MURR: Model Updating with Regularized Replay for Searching a Document Stream

    • Eugene Yang, Nicola Tonellotto, Dawn Lawrie, Sean MacAvaney, James Mayfield, Douglas W. Oard et al.
    Pages 85-100

  8. Token Pruning Optimization for Efficient Multi-vector Dense Retrieval

    • Shanxiu He, Mutasem Al-Darabsah, Suraj Nair, Jonathan May, Tarun Agarwal, Tao Yang et al.
    Pages 101-115

  9. Advancing Math Formula Search Using Diverse Structural and Symbolic Representations

    • Sumedh Vemuganti, Ayu Seiya, Nickvash Kani
    Pages 116-131

  10. Ragnarök: A Reusable RAG Framework and Baselines for TREC 2024 Retrieval-Augmented Generation Track

    • Ronak Pradeep, Nandan Thakur, Sahel Sharifymoghaddam, Eric Zhang, Ryan Nguyen, Daniel Campos et al.
    Pages 132-148

  11. Retrieve, Annotate, Evaluate, Repeat: Leveraging Multimodal LLMs for Large-Scale Product Retrieval Evaluation

    • Kasra Hosseini, Thomas Kober, Josip Krapac, Roland Vollgraf, Weiwei Cheng, Ana Peleteiro Ramallo
    Pages 149-163

  12. Graph Representation of Tables+Text and Compact Subgraph Retrieval for QA Tasks

    • Vishwajeet Kumar, Jaydeep Sen, Bhawna Chelani, Soumen Chakrabarti
    Pages 164-180

  13. Higher Order Knowledge Graph Embeddings

    • Giuseppe Pirrò
    Pages 181-195

  14. Improving the Reusability of Conversational Search Test Collections

    • Zahra Abbasiantaeb, Chuan Meng, Leif Azzopardi, Mohammad Aliannejadi
    Pages 196-213

  15. Repeat-Bias-Aware Optimization of Beyond-Accuracy Metrics for Next Basket Recommendation

    • Yuanna Liu, Ming Li, Mohammad Aliannejadi, Maarten de Rijke
    Pages 214-229

  16. Guiding Retrieval Using LLM-Based Listwise Rankers

    • Mandeep Rathee, Sean MacAvaney, Avishek Anand
    Pages 230-246

  17. Lost but Not Only in the Middle

    • Jan Hutter, David Rau, Maarten Marx, Jaap Kamps
    Pages 247-261

  18. Biased PromptORE: Enhancing Relation Extraction in Gendered Languages and Complex Texts The Case of Spanish Documents from the XVI\(^{{\textbf {th}}}\) Century

    • Michel Boeglin, David Kahn, Héctor López Hidalgo, Josiane Mothe, Diego Ortiz, David Panzoli
    Pages 262-275

  19. LSTM-Based Selective Dense Text Retrieval Guided by Sparse Lexical Retrieval

    • Yingrui Yang, Parker Carlson, Yifan Qiao, Wentai Xie, Shanxiu He, Tao Yang
    Pages 276-292

  20. Context Example Selection for LLM Generated Relevance Assessments

    • Jack McKechnie, Graham McDonald, Craig Macdonald
    Pages 293-309
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Other volumes

  1. Advances in Information Retrieval

  2. Advances in Information Retrieval

  3. Advances in Information Retrieval

  4. Advances in Information Retrieval

  5. Advances in Information Retrieval

Editors and Affiliations

  • Spotify, Amsterdam, The Netherlands

    Claudia Hauff

  • University of Glasgow, Glasgow, UK

    Craig Macdonald

  • University of Klagenfurt, Klagenfurt, Austria

    Dietmar Jannach

  • Amazon, London, UK

    Gabriella Kazai

  • ISTI-CNR, Pisa, Italy

    Franco Maria Nardini

  • IMT Lucca, Lucca, Italy

    Fabio Pinelli

  • Sapienza University of Rome, Rome, Italy

    Fabrizio Silvestri

  • University of Pisa, Pisa, Italy

    Nicola Tonellotto

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