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ORCID14th IIR 2024: Udine, Italy
- Kevin Roitero, Marco Viviani, Eddy Maddalena, Stefano Mizzaro:
Proceedings of the 14th Italian Information Retrieval Workshop, Udine, Italy, September 5-6, 2024. CEUR Workshop Proceedings 3802, CEUR-WS.org 2024
Keynotes
- Asia J. Biega:
Data Protection in Data-Driven IR Systems. 1 - Gabriella Pasi:
Search Personalization: Which Information and How? 2
Full Papers
- Saber Zerhoudi, Michael Granitzer:
Beyond Conventional Metrics: Assessing User Simulators in Information Retrieval. 3-12 - Dario Di Palma, Giovanni Servedio, Vito Walter Anelli, Giovanni Maria Biancofiore, Fedelucio Narducci, Leonarda Carnimeo, Tommaso Di Noia:
Beyond Words: Can ChatGPT Support State-of-the-Art Recommender Systems? 13-22 - Daniele Rizzo, Alessandro Raganato, Marco Viviani:
Comparatively Assessing Large Language Models for Query Expansion in Information Retrieval via Zero-Shot and Chain-of-Thought Prompting. 23-32 - Guido Rocchietti, Cosimo Rulli, Korbinian Randl, Cristina Ioana Muntean, Franco Maria Nardini, Raffaele Perego, Salvatore Trani, Manos Karvounis, Jakub Janostik:
LongDoc Summarization using Instruction-tuned Large Language Models for Food Safety Regulations. 33-42 - Andrea Albarelli, Claudio Lucchese, Matteo Rizzo, Alberto Veneri:
On the Application of a Common Theoretical Explainability Framework in Information Retrieval. 43-52
Short Papers
- Francesco Luigi De Faveri, Guglielmo Faggioli, Nicola Ferro:
Beyond the Parameters: Measuring Actual Privacy in Obfuscated Texts. 53-57
Extended Abstracts
- Andrea Pasin, Washington Cunha, Marcos André Gonçalves, Nicola Ferro:
A Quantum Annealing-Based Instance Selection Approach for Transformer Fine-Tuning. 58-61 - Ludovico Boratto, Francesco Fabbri, Gianni Fenu, Mirko Marras, Giacomo Medda:
Comprehensive Assessment of Robustness in Fairness of GNN-based Recommender Systems against Attacks. 62-65 - Stefania Conte, Gennaro Ferrante, Lorenza Laccetti, Andrea Mazzucchi, Yahya Momtaz, Augusto Tortora:
Content Representation and Analysis: the Magic Project and the Illuminated Dante Project Integrated Systems for Multimedia Information Retrieval. 66-69 - Riccardo Lunardi, Paolo Coppola:
Conversational-Agent for Patient Information Leaflet. 70-73 - Kevin Roitero, Michael Soprano, David La Barbera, Eddy Maddalena, Stefano Mizzaro:
Enhancing Fact-Checking: From Crowdsourced Validation to Integration with Large Language Models. 74-77 - Filippo Betello, Federico Siciliano, Pushkar Mishra, Fabrizio Silvestri:
Finite Rank-Biased Overlap (FRBO): A New Measure for Stability in Sequential Recommender Systems. 78-81 - Effrosyni Sokli, Alessandro Raganato, Gabriella Pasi:
Incorporating Cognitive Complexity of Text in Dense Retrieval for Personalized Search. 82-85 - Federico Marcuzzi, Claudio Lucchese, Salvatore Orlando:
LambdaFair: a Fair and Effective LambdaMART. 86 - Nicola Cecere, Andrea Pisani, Maurizio Ferrari Dacrema, Paolo Cremonesi:
Leveraging Semantic Embeddings of User Reviews with Off-the-Shelf LLMs for Recommender Systems. 87-90 - Andrea Pisani, Nicola Cecere, Maurizio Ferrari Dacrema, Paolo Cremonesi:
Pre-Trained LLM Embeddings of Product Reviews for Recommendation. 91-94 - Florin Cuconasu, Giovanni Trappolini, Federico Siciliano, Simone Filice, Cesare Campagnano, Yoelle Maarek, Nicola Tonellotto, Fabrizio Silvestri:
Rethinking Relevance: How Noise and Distractors Impact Retrieval-Augmented Generation. 95-98 - Pranav Kasela, Marco Braga, Gabriella Pasi, Raffaele Perego:
SE-PQA: StackExchange Personalized Community Question Answering. 99-102 - Sebastian Bruch, Franco Maria Nardini, Cosimo Rulli, Rossano Venturini:
Seismic: Efficient and Effective Retrieval over Learned Sparse Representation. 103-106 - Tommaso Di Noia, Guglielmo Faggioli, Marco Ferrante, Nicola Ferro, Fedelucio Narducci, Raffaele Perego, Giuseppe Santucci:
The CAMEO Project: A Holistic View for Conversational Agents. 107-110 - Matteo Attimonelli, Claudio Pomo, Dietmar Jannach, Tommaso Di Noia:
Toward Effective Fashion Item Compatibility Modelling. 111-114 - Guglielmo Faggioli, Nicola Ferro, Raffaele Perego, Nicola Tonellotto:
Turning on a DIME: Estimating Dimension Importance for Dense Information Retrieval. 115-118 - Vincenzo Paparella, Dario Di Palma, Vito Walter Anelli, Alessandro De Bellis, Tommaso Di Noia:
Unveiling the Potential of Recommender Systems through Multi-Objective Metrics. 119-122
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