Italian Information Retrieval (IIR) Workshop 2021
Proceedings of the Eleventh Workshop Italian Information Retrieval - IIR 2021
Bari, Italy, September 13th-151th, 2021.
Edited by Vito Walter Anelli*, Tommaso Di Noia*, Nicola Ferro**, Fedelucio Narducci*
* Politecnico di Bari, Department of Electrical and Information Engineering, Bari, Italy
** Università degli studi di Padova, Department of Information Engineering, Padova, Italy
Table of Contents
Preface
Long Papers:
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Keyword Extraction for Improved Document Retrieval in Conversational Search
Oleg Borisov, Mohammad Aliannejadi, Fabio Crestani -
Extracting Relations from Italian Wikipedia using Unsupervised Information Extraction
Pierluigi Cassotti, Lucia Siciliani, Pierpaolo Basile, Marco de Gemmis, Pasquale Lops -
Reading Songs: A Computational Analysis of Popular Songs lyrics
Silvia Corbara, Alessio Molinari -
Measuring the Ranking Quality of Recommendations in a Two-Dimensional Carousel Setting
Nicolò Felicioni, Maurizio Ferrari Dacrema, Fernando Benjamín Pérez Maurera, Paolo Cremonesi -
On Single and Multiple Representations in Dense Passage Retrieval
Craig Macdonald, Nicola Tonellotto, Iadh Ounis -
Towards a Human in the Loop Approach to Preserve Privacy in Images
Andrea Mauri, Alessandro Bozzon -
Recommending Third-party Library Updates with LSTM Neural Networks
Phuong T. Nguyen, Juri Di Rocco, Riccardo Rubei, Claudio Di Sipio, Davide Di Ruscio
Short Papers
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Holistic Summarization of Recommender Systems Results Noemi Mauro, Zhongli Filippo Hu, Liliana Ardissono, Sara Capecchi, Gianmarco Izzi, Claudio Mattutino
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FashionSearch++: Improving Consumer-to-Shop Clothes Retrieval with Hard Negatives Davide Morelli, Marcella Cornia, Rita Cucchiara
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AURYGA: A Recommender System for Game Tagging Riccardo Rubei, Claudio Di Sipio
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Garbled-Word Embeddings for Jumbled Text Gianluca Sperduti, Alejandro Moreo, Fabrizio Sebastiani
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Sequential Modeling in Vector Space Benyou Wang, Emanuele Di Buccio, Massimo Melucci
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SAFIR: a Semantic-Aware Neural Framework for IR Maristella Agosti, Stefano Marchesin, Gianmaria Silvello
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How to Perform Reproducible Experiments in the ELLIOT Recommendation Framework: Data Processing, Model Selection, and Performance Evaluation Vito Walter Anelli, Alejandro BellogÍn, Antonio Ferrara, Daniele Malitesta, Felice Antonio Merra, Claudio Pomo, Francesco Maria Donini, Eugenio Di Sciascio, Tommaso Di Noia
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Sparse Embeddings for Recommender Systems with Knowledge Graphs Vito Walter Anelli, Tommaso Di Noia, Eugenio Di Sciascio, Antonio Ferrara, Alberto Carlo Maria Mancino
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On Building Benchmark Datasets for Understudied Information Retrieval Tasks: the Case of Semantic Query Labeling Elias Bassani, Gabriella Pasi
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GUapp: Enhancing Job Recommendations with Knowledge Graphs Giovanni Maria Biancofiore, Tommaso Di Noia, Eugenio Di Sciascio, Fedelucio Narducci, Paolo Pastore
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Combining Mitigation Treatments against Biases in Personalized Rankings: Use Case on Item Popularity Ludovico Boratto, Gianni Fenu, Mirko Marras
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Do Hard Topics Exist? A Statistical Analysis J. Shane Culpepper, Guglielmo Faggioli, Nicola Ferro, Oren Kurland
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Representing, Tracking and Revising the User’s Knowledge: A Search Result Filter Framework Dima El Zein, Célia da Costa Pereira
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Neural IR for Domain-Specific Tasks Óscar Espitia, Gabriella Pasi
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Measuring Gender Stereotype Reinforcement in Information Retrieval Systems Alessandro Fabris, Alberto Purpura, Gianmaria Silvello, Gian Antonio Susto
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Quality and Diversity of Recommender Systems Users’ Choices: a Simulation Perspective Naieme Hazrati, Francesco Ricci
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An Investigation on the Impact of Natural Language on Conversational Recommendations Andrea Iovine, Fedelucio Narducci, Marco de Gemmis, Giovanni Semeraro
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A Regression Framework to Interpret the Robustness of Recommender Systems Against Shilling Attacks Yashar Deldjoo, Tommaso Di Noia, Eugenio Di Sciascio, Felice Antonio Merra
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User-friendly Query Interfaces for the HOPE Project Diego Marcia, Manuela Sanguinetti, Maurizio Atzori
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Similarity-Based Reasoning and Retrieval with Order-Sorted Feature Logic Gian Carlo Milanese, Gabriella Pasi
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Generalized Funnelling: Ensemble Learning and Heterogeneous Document Embeddings for Cross-Lingual Text Classification Andrea Pedrotti, Fabrizio Sebastiani, Alejandro Moreo
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Multidimensional Relevance in Legal and Health Domains Georgios Peikos, Gabriella Pasi
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Using an Ensemble of Features for Personalized Recommendations of Scientific Publications Paolo Tenti, James Thomas, Rafael Penaloza, Gabriella Pasi
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An Overview on Evaluation Labs and Open Issues in Health-related Credible Information Retrieval Rishabh Upadhyay, Gabriella Pasi, Marco Viviani