IIR 2025
Italian Information Retrieval Workshop 2025

Table of Contents

• Preface I-III
  Summary: There were 27 papers submitted for peer-review to this workshop. All 27 papers were accepted, 3 as original research papers (1 full paper and 2 short papers) and 24 as extended abstracts. Out of these, 2 extended abstracts are not included in this volume due to authors' decision.

Keynotes

• Learned Sparse Representations of Text: A Story of Indexing and Retrieval 1
  Franco Maria Nardini
• "This Will All Make Sense When I'm Older": Goals, Gaps, and the Road Ahead for Child-Aware IR 2
  Maria Soledad Pera

Original Research Papers

• A Grading Methodology for E-commerce Reviews based on a Mixed Lexical-semantic Approach 3-6
  Giuseppe Scarpi, Amir Khorrami Chokami, Diego Reforgiato
• Empowered or Lost? How Search Tools and Social Networks Shape Teen Learning in an AI World 7-19
  Emiliana Murgia, Monica Landoni, Theo Huibers, Maria Soledad Pera
• Leveraging LLM-Powered Multi-Agent Systems to Enhance Customer Experience in Complex Product Domains 20-26
  Marco Valentini, Antonio Ferrara, Tommaso Di Noia, Giuseppe Illuzzi, Pierangelo Colacicco

Extended Abstracts

• A Dataset for Joint Conversational Search and Recommendation 27-32
  Marco Alessio, Simone Merlo, Tommaso Di Noia Guglielmo Faggioli, Marco Ferrante, Nicola Ferro, Cristina Ioana Muntean, Franco Maria Nardini, Fedelucio Narducci, Raffaele Perego, Giuseppe Santucci, Nicola Viterbo
• Beyond Homogeneous Users: Simulating Diverse User Personas for Conversational Recommendation Datasets 32-38
  Alessandro Francesco Maria Martina, Alessandro Petruzzelli, Cataldo Musto, Marco de Gemmis, Pasquale Lops, Giovanni Semeraro
• Beyond Relevance: Quantifying Distraction of Irrelevant Passages in RAG 39-44
  Chen Amiraz, Florin Cuconasu, Simone Filice, Zohar Karnin
• Caser+ and CosRec+: Closing the Gap Between CNNs and Attention Models in SRS 45-50
  Federico Siciliano, Antonio Purificato, Filippo Betello, Nicola Tonellotto, Fabrizio Silvestri
• Comparing LLMs and Traditional Privacy Measures to Evaluate Query Obfuscation Approaches 51-58
  Francesco De Faveri, Guglielmo Faggioli, Nicola Ferro
• Comparing Recommendation Losses under Negative Sampling 59-64
  Giulia Di Teodoro, Federico Siciliano, Nicola Tonellotto, Fabrizio Silvestri
• Counterfactual Dimension Importance Estimation (CoDIME) for Dense Information Retrieval 65-70
  Guglielmo Faggioli, Nicola Ferro, Raffaele Perego, Nicola Tonellotto
• Diffusion Models for Recommendation: Reproducibility and Conceptual Mismatch 71-77
  Michael Benigni, Maurizio Ferrari Dacrema, Dietmar Jannach
• Eclipse: Leveraging Pseudo-Irrelevance for Dimension Importance Estimation 78-83
  Giulio D'Erasmo, Giovanni Trappolini, Nicola Tonellotto, Fabrizio Silvestri
• Effective and Transparent Course Recommendation through Causal Reasoning with Language Models 84-87
  Neda Afreen, Ludovico Boratto, Gianni Fenu, Mirko Marras, Alessandro Soccol
• Enhancing Ground Truth Creation for IR Through Web-Based Collaborative Annotation 88-93
  Ornella Irrera, Stefano Marchesin, Gianmaria Silvello
• Graph Augmentation with LLMs for Knowledge-Aware Recommender Systems 94-100
  Giuseppe Spillo, Cataldo Musto, Matteo Mannavola, Marco de Gemmis, Pasquale Lops, Giovanni Semeraro
• Investigating Mixture of Experts in Dense Retrieval 101-107
  Effrosyni Sokli, Pranav Kasela, Georgios Peikos, Gabriella Pasi
• Investigating Task Arithmetic for Zero-Shot Information Retrieval 108-116
  Marco Braga, Pranav Kasela, Alessandro Raganato, Gabriella Pasi
• Knowledge is Power: Boosting Recommender Systems by Infusing LLMs with Domain Expertise 117-122
  Alessandro Petruzzelli, Cataldo Musto, Marco de Gemmis, Pasquale Lops, Giovanni Semeraro
• Lean and Green: Computational Efficiency and Nudging for Sustainable Fashion Recommendation 123-128
  Angelo Geninatti Cossatin
• Less Data, More Questions: Fairness and Accuracy Under Data Minimization in Recommender Systems 129-135
  Salvatore Bufi, Vincenzo Paparella, Vito Walter Anelli, Tommaso Di Noia
• MDCU: A Multi-Dimensional Cumulative Utility Metric for Information Retrieval 136-141
  Francesco De Faveri, Guglielmo Faggioli, Nicola Ferro, Kalervo Järvelin
• Neural Web Crawling 142-147
  Francesca Pezzuti, Sean MacAvaney, Nicola Tonellotto
• PARK: Personalized Academic Retrieval with Knowledge-graphs 148-153
  Pranav Kasela, Gabriella Pasi, Raffaele Perego
• Siren Federate: Bridging Document, Relational, and Graph Models for Exploratory Graph Analysis 154-155
  Georgeta Bordea, Stéphane Campinas, Matteo Catena, Renaud Delbru
• The KIMERA Infrastructure: Shifting from Evaluation-as-a-Service to Evaluation-in-the-Cloud 156-163
  Andrea Pasin, Nicola Ferro