| Vol-3177 urn:nbn:de:0074-3177-8 Copyright © 2022 for the individual papers by the papers' authors. Copyright © 2022 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 2022
12th Italian Information Retrieval Workshop 2022

### Proceedings of the 12th Italian Information Retrieval Workshop 2022

### Milan, Italy, June 29-30, 2022.

Edited by

### Gabriella Pasi *
Paolo Cremonesi **
Salvatore Orlando ***
Markus Zanker **** *****
David Massimo ****
Gloria Turati **

* Università di Milano-Bicocca, Dipartimento di Informatica, Sistemistica e Comunicazione, Milano, Italy
** Politecnico di Milano, Dipartimento di Elettronica, Informazione e Bioingegneria, Milano Italy, Italy
*** Università Ca' Foscari Venezia, Dipartimento di Scienze Ambientali, Informatica e Statistica , Venezia, Italy
**** Free University of Bozen-Bolzano, Faculty of Computer Science, Bolzano, Italy
***** University of Klagenfurt, Institute of Artificial Intelligence and Cybersecurity, Klagenfurt, Austria

## Table of Contents

- Preface
  Summary: After peer review 23 papers were accepted for this volume.

### Invited Talks

- Pseudo-Relevance Feedback in the Era of Dense Retrieval
  Nicola Tonellotto
- From Implicit Data to Cognitive Models for Recommender Systems
  Marko Tkalcic

### Accepted Papers

- A Modular Approach to Topic Modeling for Heterogeneous Documents
  Giovanni Toto, Emanuele Di Buccio
- Addressing Privacy in Recommender Systems with Federated Learning
  Vito Walter Anelli, Tommaso Di Noia, Eugenio Di Sciascio, Antonio Ferrara, Alberto Carlo Maria Mancino
- AI-based Decision Support Systems for the Management of E-rocurement Procedures
  Pasquale Lops, Marco Di Ciano, Nicola Lopane, Lucia Siciliani, Vincenzo Taccardi, Eleonora Ghizzota, Giovanni Semeraro
- An Analysis of Local Explanation with LIME-RS
  Vito Walter Anelli, Alejandro Bellogín, Tommaso Di Noia, Francesco Maria Donini, Vincenzo Paparella, Claudio Pomo
- An Analysis of User Click Behaviour in Online Hotel Search
  Emanuele Cavenaghi, Lorenzo Camaione, Paolo Minasi, Gabriele Sottocornola, Fabio Stella, Markus Zanker
- Assessing the Semantic Difficulty of Queries
  Guglielmo Faggioli, Stefano Marchesin
- Choice Models for Simulating the Consumption of Recommendations
  Naieme Hazrati, Francesco Ricci
- Comparing ANOVA Approaches to Detect Significantly Different IR Systems
  Guglielmo Faggioli, Nicola Ferro
- Evaluating Recommendations in a User Interface With Multiple Carousels
  Maurizio Ferrari Dacrema, Nicolò Felicioni, Paolo Cremonesi
- Feature Selection via Quantum Annealers for Ranking and Classification Tasks
  Maurizio Ferrari Dacrema, Fabio Moroni, Riccardo Nembrini, Nicola Ferro, Guglielmo Faggioli, Paolo Cremonesi
- Group Dynamic and Group Recommender Systems for Decision Support
  Hanif Emamgholizadeh, Francesco Ricci
- Learning to Rank from Relevance Judgments Distributions
  Alberto Purpura, Gianmaria Silvello, Gian Antonio Susto
- Inverse Reinforcement Learning and Point of Interest Recommendations
  David Massimo, Francesco Ricci
- Recency, Popularity, and Diversity of Explanations in Knowledge-based Recommendation
  Giacomo Balloccu, Ludovico Boratto, Gianni Fenu, Mirko Marras
- Replication of Collaborative Filtering Generative Adversarial Networks on Recommender Systems
  Fernando Benjamín Pérez Maurera, Maurizio Ferrari Dacrema, Paolo Cremonesi
- Replication of Recommender Systems with Impressions
  Fernando Benjamín Pérez Maurera, Maurizio Ferrari Dacrema, Paolo Cremonesi
- Revisiting Retrieval-based Approaches for Conversational Recommender Systems
  Ahtsham Manzoor, Dietmar Jannach
- Sustainability driven Recommender Systems
  Pavel Merinov, David Massimo, Francesco Ricci
- Towards an Information Retrieval Evaluation Library
  Elias Bassani

### Extended Abstracts

- A Comprehensive Dataset for Modern Learning to Rank Solutions (Abstract)
  Domenico Dato, Sean MacAvaney, Franco Maria Nardini, Raffaele Perego, Nicola Tonellotto
- Energy-Efficient Ranking on FPGAs through Ensemble Model Compression (Abstract)
  Veronica Gil-Costa, Fernando Loor, Romina Molina, Franco Maria Nardini, Raffaele Perego, Salvatore Trani
- Interpretable Ranking Using LambdaMART (Abstract)
  Claudio Lucchese, Franco Maria Nardini, Salvatore Orlando, Raffaele Perego, Alberto Veneri
- SOUR: an Outliers Detection Algorithm in Learning to Rank (Abstract)
  Federico Marcuzzi, Claudio Lucchese, Salvatore Orlando

2022-06-23: submitted by David Massimo, metadata incl. bibliographic data published under Creative Commons CC0
2022-07-29: published on CEUR Workshop Proceedings (CEUR-WS.org, ISSN 1613-0073) |valid HTML5|