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Proceedings of the 12th Italian Information Retrieval Workshop 2022, Milan, Italy, June 29-30, 2022

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Proceedings of the 12th Italian Information Retrieval Workshop 2022, Milan, Italy, June 29-30, 2022

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A Comprehensive Dataset for Modern Learning to Rank Solutions (Abstract)
Domenico Dato | Sean MacAvaney | Franco Maria Nardini | Raffaele Perego | Nicola Tonellotto

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A Modular Approach to Topic Modeling for Heterogeneous Documents
Giovanni Toto | Emanuele Di Buccio

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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

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Addressing Privacy in Recommender Systems with Federated Learning
Vito Walter Anelli | Tommaso Di Noia | Eugenio Di Sciascio | Antonio Ferrara | Alberto Carlo Maria Mancino

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An Analysis of Local Explanation with LIME-RS
Vito Walter Anelli | Alejandro Bellogín | Tommaso Di Noia | Francesco Maria Donini | Vincenzo Paparella | Claudio Pomo

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An Analysis of User Click Behaviour in Online Hotel Search
Emanuele Cavenaghi | Lorenzo Camaione | Paolo Minasi | Gabriele Sottocornola | Fabio Stella | Markus Zanker

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Assessing the Semantic Difficulty of Queries
Guglielmo Faggioli | Stefano Marchesin

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Choice Models for Simulating the Consumption of Recommendations
Naieme Hazrati | Francesco Ricci

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Comparing ANOVA Approaches to Detect Significantly Different IR Systems
Guglielmo Faggioli | Nicola Ferro

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Energy-Efficient Ranking on FPGAs through Ensemble Model Compression (Abstract)
Veronica Gil-Costa | Fernando Loor | Romina Molina | Franco Maria Nardini | Raffaele Perego | Salvatore Trani

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Evaluating Recommendations in a User Interface With Multiple Carousels
Maurizio Ferrari Dacrema | Nicolò Felicioni | Paolo Cremonesi

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Feature Selection via Quantum Annealers for Ranking and Classification Tasks
Maurizio Ferrari Dacrema | Fabio Moroni | Riccardo Nembrini | Nicola Ferro | Guglielmo Faggioli | Paolo Cremonesi

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From Implicit Data to Cognitive Models for Recommender Systems
Marko Tkalcic

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Group Dynamic and Group Recommender Systems for Decision Support
Hanif Emamgholizadeh | Francesco Ricci

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Interpretable Ranking Using LambdaMART (Abstract)
Claudio Lucchese | Franco Maria Nardini | Salvatore Orlando | Raffaele Perego | Alberto Veneri

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Inverse Reinforcement Learning and Point of Interest Recommendations
David Massimo | Francesco Ricci

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Learning to Rank from Relevance Judgments Distributions
Alberto Purpura | Gianmaria Silvello | Gian Antonio Susto

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Pseudo-Relevance Feedback in the Era of Dense Retrieval
Nicola Tonellotto

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Recency, Popularity, and Diversity of Explanations in Knowledge-based Recommendation
Giacomo Balloccu | Ludovico Boratto | Gianni Fenu | Mirko Marras

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Replication of Collaborative Filtering Generative Adversarial Networks on Recommender Systems
Fernando Benjamín Pérez Maurera | Maurizio Ferrari Dacrema | Paolo Cremonesi

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Replication of Recommender Systems with Impressions
Fernando Benjamín Pérez Maurera | Maurizio Ferrari Dacrema | Paolo Cremonesi

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Revisiting Retrieval-based Approaches for Conversational Recommender Systems
Ahtsham Manzoor | Dietmar Jannach

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SOUR an Outliers Detection Algorithm in Learning to Rank (Abstract)
Federico Marcuzzi | Claudio Lucchese | Salvatore Orlando

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Sustainability driven Recommender Systems
Pavel Merinov | David Massimo | Francesco Ricci

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Towards an Information Retrieval Evaluation Library
Elias Bassani