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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.
List of contents
.- BioRAGent: A Retrieval-Augmented Generation System for Showcasing Generative Query Expansion and Domain-Specific Search for Scientific Q&A.
.- PIE-Med: Predicting, Interpreting and Explaining Medical Recommendations.
.-FinPersona: An LLM-Driven Conversational Agent for Personalized Financial Advising.
.- Semantic Search and Filtering with AI Agents.
.- TheoremView: A Framework for Extracting Theorem-Like Environments from Raw PDFs.
.- Checky, the Paper-Submission Checklist-Generator for Authors, Reviewers and LLMs.
.- AirTOWN: A Privacy-Preserving Mobile App for Real-time Pollution-Aware POI Suggestion.
.- Spoken Question Answering on Municipal Council Meetings.
.- MindWell: A Conversational Agent for Professional Depression Screening on Social Media.
.- Leveraging Language Models to Improve Human Annotation Efficiency with INCEpTION.
.- DenseReviewer: A Screening Prioritisation Tool for Systematic Review based on Dense Retrieval.
.- ASPIRE: Assistive System for Performance Evaluation in IR.
.- MedLink: Retrieval and Ranking of Case Reports to assist Clinical Decision Making.
.- Forecasting Prescription Efficacy.
.- Rebuilding the Past: Reconstructing Portuguese News Outlets with Web Archives.
.- MechIR: A Mechanistic Interpretability Framework for Information Retrieval.
.- Web-scale Retrieval Experimentation with chatnoir-pyterrier.
.- Automatic News Bias Classification for Strengthening Democracy [Demo].
.- Combining Knowledge Graphs and Retrieval Augmented Generation for Enterprise Resource Planning.
.- Adapting LLMs for Domain-Specific Retrieval: A Case Study in Nuclear Safety.
.- Jina Embeddings V3: Multilingual Text Encoder with Low-Rank Adaptations.
.- PlotEdit: Natural Language-Driven Accessible Chart Editing in PDFs via Multimodal LLM Agents.
.- RURAGE: Robust Universal RAG Evaluator for Fast and Affordable QA Performance Testing.
.- Personalizing Enterprise Search with LLM Populated Attributes in Graph Models.
.- Leveraging LLMs for Energy Forecasting: The AcegasApsAmga Case Study.
.- Contextualizing Spotify s Audiobook List Recommendations with Descriptive Shelves.
.- Text2Playlist: Generating Personalized Playlists from Text on Deezer.
.- Hierarchical prefixes for long document representations.
.- On the Longitudinal Impact of Exposure Bias in Recommender Systems.
.- Combining dissimilarity spaces to improve approximate similarity search.
.- Towards Query Obfuscation Strategies for Information Retrieval.
.- Automatic evaluation of online news outlets reliability.
.- Cooperative and Competitive LLM-based Multi-Agent Systems for Recommendation.
.- SynKGP: Knowledge Graph Population with Syntactic-LLM Hybridation for Question-Answering.
.- Understanding Numerical Contexts in Text by Asking Quantitative Questions.
.- Mitigating Gender Bias in Information Retrieval Systems.
.- Towards Intent-Driven Transparency in Conversational Search Systems.
.- A Framework for Robust Query Performance Prediction Using Contextual Relationships.
.- Enhancing Generative Models for Scientific Text Simplification.
.- Explainable Information Retrieval.
.- Fairness in Information Access: Conceptual Foundations and New Directions.
.- Enhancing Reproducibility and Replicability in Information Retrieval: A Path Towards Scientific Integrity and Effective Research.
.- Advanced Methods for Visual Information Retrieval and Exploration in Large Multimedia Collections.
.- Tutorial on conversational search and recsys.
.- Large Language Models are Human-like Annotators.
.- Rapid Pro
