| Vol-2947 urn:nbn:de:0074-2947-7 Copyright © 2021 for the individual papers by the papers' authors. Copyright © 2021 for the volume as a collection by its editors. This volume and its papers are published under the Creative Commons License Attribution 4.0 International (CC BY 4.0).

# IIR 2021
11th Italian Information Retrieval Workshop 2021

### Proceedings of the 11th Italian Information Retrieval Workshop 2021

### Bari, Italy, September 13-15, 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

- 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

- Holistic Summarization of Recommender Systems Results
  Noemi Mauro, Zhongli Filippo Hu, Liliana Ardissono, Sara Capecchi, Gianmarco Izzi, Claudio Mattutino
- FashionSearch++: Improving Consumer-to-Shop Clothes Retrieval with Hard Negatives
  Davide Morelli, Marcella Cornia, Rita Cucchiara
- AURYGA: A Recommender System for Game Tagging
  Riccardo Rubei, Claudio Di Sipio
- Garbled-Word Embeddings for Jumbled Text
  Gianluca Sperduti, Alejandro Moreo, Fabrizio Sebastiani
- Sequential Modeling in Vector Space
  Benyou Wang, Emanuele Di Buccio, Massimo Melucci
- SAFIR: a Semantic-Aware Neural Framework for IR
  Maristella Agosti, Stefano Marchesin, Gianmaria Silvello
- 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
- Sparse Embeddings for Recommender Systems with Knowledge Graphs
  Vito Walter Anelli, Tommaso Di Noia, Eugenio Di Sciascio, Antonio Ferrara, Alberto Carlo Maria Mancino
- On Building Benchmark Datasets for Understudied Information Retrieval Tasks: the Case of Semantic Query Labeling
  Elias Bassani, Gabriella Pasi
- GUapp: Enhancing Job Recommendations with Knowledge Graphs
  Giovanni Maria Biancofiore, Tommaso Di Noia, Eugenio Di Sciascio, Fedelucio Narducci, Paolo Pastore
- Combining Mitigation Treatments against Biases in Personalized Rankings: Use Case on Item Popularity
  Ludovico Boratto, Gianni Fenu, Mirko Marras
- Do Hard Topics Exist? A Statistical Analysis
  J. Shane Culpepper, Guglielmo Faggioli, Nicola Ferro, Oren Kurland
- Representing, Tracking and Revising the User’s Knowledge: A Search Result Filter Framework
  Dima El Zein, Célia da Costa Pereira,
- Neural IR for Domain-Specific Tasks
  Óscar Espitia, Gabriella Pasi
- Measuring Gender Stereotype Reinforcement in Information Retrieval Systems
  Alessandro Fabris, Alberto Purpura, Gianmaria Silvello, Gian Antonio Susto
- Quality and Diversity of Recommender Systems Users’ Choices: a Simulation Perspective
  Naieme Hazrati, Francesco Ricci
- An Investigation on the Impact of Natural Language on Conversational Recommendations
  Andrea Iovine, Fedelucio Narducci, Marco de Gemmis, Giovanni Semeraro
- A Regression Framework to Interpret the Robustness of Recommender Systems Against Shilling Attacks
  Yashar Deldjoo, Tommaso Di Noia, Eugenio Di Sciascio, Felice Antonio Merra
- User-friendly Query Interfaces for the HOPE Project
  Diego Marcia, Manuela Sanguinetti, Maurizio Atzori
- Similarity-Based Reasoning and Retrieval with Order-Sorted Feature Logic
  Gian Carlo Milanese, Gabriella Pasi
- Generalized Funnelling: Ensemble Learning and Heterogeneous Document Embeddings for Cross-Lingual Text Classification
  Andrea Pedrotti, Fabrizio Sebastiani, Alejandro Moreo
- Multidimensional Relevance in Legal and Health Domains
  Georgios Peikos, Gabriella Pasi
- Using an Ensemble of Features for Personalized Recommendations of Scientific Publications
  Paolo Tenti, James Thomas, Rafael Penaloza, Gabriella Pasi
- An Overview on Evaluation Labs and Open Issues in Health-related Credible Information Retrieval
  Rishabh Upadhyay, Gabriella Pasi, Marco Viviani

2021-09-12: submitted by Fedelucio Narducci, metadata incl. bibliographic data published under Creative Commons CC0
2021-09-19: published on CEUR Workshop Proceedings (CEUR-WS.org, ISSN 1613-0073) |valid HTML5|