IIR 2024
Italian Information Retrieval Workshop 2024

Table of Contents

• Preface I
  Summary: There were 28 papers submitted to this workshop. All papers were peer-reviewed by three reviewers. Out of these, 23 were accepted for this volume, 5 as full papers, 1 as short paper, and 17 as extended abstracts.

Keynotes

• Data Protection in Data-Driven IR Systems 1
  Asia J. Biega
• Search Personalization: Which Information and How? 2
  Gabriella Pasi

Full Papers

• Beyond Conventional Metrics: Assessing User Simulators in Information Retrieval 3-12
  Saber Zerhoudi , Michael Granitzer
• Beyond Words: Can ChatGPT Support State-of-the-Art Recommender Systems? 13-22
  Dario Di Palma , Giovanni Servedio , Vito Walter Anelli , Giovanni Maria Biancofiore , Fedelucio Narducci , Leonarda Carnimeo , Tommaso Di Noia
• Comparatively Assessing Large Language Models for Query Expansion in Information Retrieval via Zero-Shot and Chain-of-Thought Prompting 23-32
  Daniele Rizzo , Alessandro Raganato , Marco Viviani
• LongDoc Summarization using Instruction-tuned Large Language Models for Food Safety Regulations 33-42
  Guido Rocchietti , Cosimo Rulli , Korbinian Randl , Cristina Ioana Muntean , Franco Maria Nardini Raffaele Perego , Salvatore Trani , Manos Karvounis , Jakub Janostik
• On the Application of a Common Theoretical Explainability Framework in Information Retrieval 43-52
  Andrea Albarelli , Claudio Lucchese , Matteo Rizzo , Alberto Veneri

Short Papers

• Beyond the Parameters: Measuring Actual Privacy in Obfuscated Texts 53-57
  Francesco Luigi De Faveri , Guglielmo Faggioli , Nicola Ferro

Extended Abstracts

• A Quantum Annealing-Based Instance Selection Approach for Transformer Fine-Tuning 58-61
  Andrea Pasin , Washington Cunha , Marcos André Gonçalves , Nicola Ferro
• Comprehensive Assessment of Robustness in Fairness of GNN-based Recommender Systems against Attacks 62-65
  Ludovico Boratto , Francesco Fabbri , Gianni Fenu , Mirko Marras , Giacomo Medda
• Content Representation and Analysis: the Magic Project and the Illuminated Dante Project Integrated Systems for Multimedia Information Retrieval 66-69
  Stefania Conte , Gennaro Ferrante , Lorenza Laccetti , Andrea Mazzucchi , Yahya Momtaz , Augusto Tortora
• Conversational-Agent for Patient Information Leaflet 70-73
  Riccardo Lunardi , Paolo Coppola
• Enhancing Fact-Checking: From Crowdsourced Validation to Integration with Large Language Models 74-77
  Kevin Roitero , Michael Soprano , David La Barbera , Eddy Maddalena , Stefano Mizzaro
• Finite Rank-Biased Overlap (FRBO): A New Measure for Stability in Sequential Recommender Systems 78-81
  Filippo Betello , Federico Siciliano , Pushkar Mishra , Fabrizio Silvestri
• Incorporating Cognitive Complexity of Text in Dense Retrieval for Personalized Search 82-85
  Effrosyni Sokli , Alessandro Raganato , Gabriella Pasi
• LambdaFair: a Fair and Effective LambdaMART 86
  Federico Marcuzzi , Claudio Lucchese , Salvatore Orlando
• Leveraging Semantic Embeddings of User Reviews with Off-the-Shelf LLMs for Recommender Systems 87-90
  Nicola Cecere , Andrea Pisani , Maurizio Ferrari Dacrema , Paolo Cremonesi
• Pre-Trained LLM Embeddings of Product Reviews for Recommendation 91-94
  Andrea Pisani , Nicola Cecere , Maurizio Ferrari Dacrema , Paolo Cremonesi
• Rethinking Relevance: How Noise and Distractors Impact Retrieval-Augmented Generation 95-98
  Florin Cuconasu , Giovanni Trappolini , Federico Siciliano , Simone Filice , Cesare Campagnano , Yoelle Mareek , Nicola Tonellotto , Fabrizio Silvestri
• SE-PQA: StackExchange Personalized Community Question Answering 99-102
  Pranav Kasela , Marco Braga , Gabriella Pasi , Raffaele Perego
• Seismic: Efficient and Effective Retrieval over Learned Sparse Representation 103-106
  Sebastian Bruch , Franco Maria Nardini , Cosimo Rulli , Rossano Venturini
• The CAMEO Project: A Holistic View for Conversational Agents 107-110
  Tommaso Di Noia , Guglielmo Faggioli , Marco Ferrante , Nicola Ferro , Fedelucio Narducci , Raffaele Perego , Giuseppe Santucci
• Toward Effective Fashion Item Compatibility Modelling 111-114
  Matteo Attimonelli , Claudio Pomo , Dietmar Jannach , Tommaso Di Noia
• Turning on a DIME: Estimating Dimension Importance for Dense Information Retrieval 115-118
  Guglielmo Faggioli , Nicola Ferro , Raffaele Perego , Nicola Tonellotto
• Unveiling the Potential of Recommender Systems through Multi-Objective Metrics 119-122
  Vincenzo Paparella , Dario Di Palma , Vito Walter Anelli , Alessandro De Bellis , Tommaso Di Noia