IIR 2022
12th Italian Information Retrieval Workshop 2022

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