Paolo Cremonesi

237 papers A* 4A 30B 12C 8Misc 10Journal 70Unranked 93

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Minor embedding for quantum annealing with reinforcement learning. Quantum Mach. Intell. Riccardo Nembrini, Maurizio Ferrari Dacrema, Paolo Cremonesi
2026	—	`conf`	QuantumCLEF 2026 The Third Edition of the Quantum Computing Lab at CLEF. ECIR (4) Andrea Pasin, Maurizio Ferrari Dacrema, Paolo Cremonesi, Washington Cunha, Marcos André Gonçalves, Nicola Ferro
2025	A	`conf`	A Hands-on Dive Into Quantum Computing for Recommender Systems. RecSys Maurizio Ferrari Dacrema, Paolo Cremonesi
2025	J	`jnl`	Automated Design of Structured Variational Quantum Circuits with Reinforcement Learning. CoRR Gloria Turati, Simone Foderà, Riccardo Nembrini, Maurizio Ferrari Dacrema, Paolo Cremonesi
2025	J	`jnl`	Hamiltonian Expressibility for Ansatz Selection in Variational Quantum Algorithms. CoRR Filippo Brozzi, Gloria Turati, Maurizio Ferrari Dacrema, Filippo Caruso, Paolo Cremonesi
2025	J	`jnl`	Impression-Aware Recommender Systems. Trans. Recomm. Syst. Fernando Benjamín Pérez Maurera, Maurizio Ferrari Dacrema, Pablo Castells, Paolo Cremonesi
2025	J	`jnl`	Minor Embedding for Quantum Annealing with Reinforcement Learning. CoRR Riccardo Nembrini, Maurizio Ferrari Dacrema, Paolo Cremonesi
2025	—	`conf`	Overview of QuantumCLEF 2025: The Second Quantum Computing Challenge for Information Retrieval and Recommender Systems at CLEF. CLEF Andrea Pasin, Maurizio Ferrari Dacrema, Washington Cunha, Marcos André Gonçalves, Paolo Cremonesi, Nicola Ferro
2025	—	`conf`	QAOA for Efficient Urban Logistical Ecosystem. AIQxQIA@ECAI Fabio Picariello, Gloria Turati, Riccardo Antonelli, Igor Bailo, Susanna Bonura, Gianmarco Ciarfaglia, Salvatore Cipolla, Paolo Cremonesi, Maurizio Ferrari Dacrema, Michele Gabusi, Ivan Gentile, Vito Morreale, Antonio Noto
2025	J	`jnl`	Quantum Approaches to Urban Logistics: From Core QAOA to Clustered Scalability. CoRR Fabio Picariello, Gloria Turati, Riccardo Antonelli, Igor Bailo, Susanna Bonura, Gianmarco Ciarfaglia, Salvatore Cipolla, Paolo Cremonesi, Maurizio Ferrari Dacrema, Michele Gabusi, Ivan Gentile, Vito Morreale, Antonio Noto
2025	—	`conf`	QuantumCLEF 2025 - The Second Edition of the Quantum Computing Lab at CLEF. ECIR (5) Andrea Pasin, Maurizio Ferrari Dacrema, Paolo Cremonesi, Washington Cunha, Marcos André Gonçalves, Nicola Ferro
2025	—	`conf`	QuantumCLEF 2025: Overview of the Second Quantum Computing Challenge for Information Retrieval and Recommender Systems at CLEF. CLEF (Working Notes) Andrea Pasin, Maurizio Ferrari Dacrema, Washington Cunha, Marcos André Gonçalves, Paolo Cremonesi, Nicola Ferro
2024	Misc	`conf`	Adaptive Learning for Quantum Linear Regression. QCE Costantino Carugno, Maurizio Ferrari Dacrema, Paolo Cremonesi
2024	J	`jnl`	Adaptive Learning for Quantum Linear Regression. CoRR Costantino Carugno, Maurizio Ferrari Dacrema, Paolo Cremonesi
2024	—	`conf`	An Application of Reinforcement Learning for Minor Embedding in Quantum Annealing (Short Paper). AIQxQIA@AI*IA Riccardo Nembrini, Maurizio Ferrari Dacrema, Paolo Cremonesi
2024	—	`conf`	Leveraging Semantic Embeddings of User Reviews with Off-the-Shelf LLMs for Recommender Systems. IIR Nicola Cecere, Andrea Pisani, Maurizio Ferrari Dacrema, Paolo Cremonesi
2024	—	`conf`	Overview of QuantumCLEF 2024: The Quantum Computing Challenge for Information Retrieval and Recommender Systems at CLEF. CLEF (2) Andrea Pasin, Maurizio Ferrari Dacrema, Paolo Cremonesi, Nicola Ferro
2024	—	`conf`	Pre-Trained LLM Embeddings of Product Reviews for Recommendation. IIR Andrea Pisani, Nicola Cecere, Maurizio Ferrari Dacrema, Paolo Cremonesi
2024	—	`conf`	Quantum Computing for Information Retrieval and Recommender Systems. ECIR (5) Maurizio Ferrari Dacrema, Andrea Pasin, Paolo Cremonesi, Nicola Ferro
2024	—	`conf`	QuantumCLEF - Quantum Computing at CLEF. ECIR (5) Andrea Pasin, Maurizio Ferrari Dacrema, Paolo Cremonesi, Nicola Ferro
2024	—	`conf`	QuantumCLEF 2024: Overview of the Quantum Computing Challenge for Information Retrieval and Recommender Systems at CLEF. CLEF (Working Notes) Andrea Pasin, Maurizio Ferrari Dacrema, Paolo Cremonesi, Nicola Ferro
2024	—	`conf`	Reinforcement Learning for Variational Quantum Circuit Design. AIQxQIA@AI*IA Simone Foderà, Gloria Turati, Riccardo Nembrini, Maurizio Ferrari Dacrema, Paolo Cremonesi
2024	J	`jnl`	Reinforcement Learning for Variational Quantum Circuits Design. CoRR Simone Foderà, Gloria Turati, Riccardo Nembrini, Maurizio Ferrari Dacrema, Paolo Cremonesi
2024	A*	`conf`	Using and Evaluating Quantum Computing for Information Retrieval and Recommender Systems. SIGIR Maurizio Ferrari Dacrema, Andrea Pasin, Paolo Cremonesi, Nicola Ferro
2023	J	`jnl`	A Survey on Recent Approaches to Question Difficulty Estimation from Text. ACM Comput. Surv. Luca Benedetto, Paolo Cremonesi, Andrew Caines, Paula Buttery, Andrea Cappelli, Andrea Giussani, Roberto Turrin
2023	Misc	`conf`	Benchmarking Adaptative Variational Quantum Algorithms on QUBO Instances. QCE Gloria Turati, Maurizio Ferrari Dacrema, Paolo Cremonesi
2023	J	`jnl`	Benchmarking Adaptative Variational Quantum Algorithms on QUBO Instances. CoRR Gloria Turati, Maurizio Ferrari Dacrema, Paolo Cremonesi
2023	—	`conf`	Characterizing Impression-Aware Recommender Systems. LERI@RecSys Fernando Benjamín Pérez Maurera, Maurizio Ferrari Dacrema, Pablo Castells, Paolo Cremonesi
2023	J	`jnl`	Impression-Aware Recommender Systems. CoRR Fernando Benjamín Pérez Maurera, Maurizio Ferrari Dacrema, Pablo Castells, Paolo Cremonesi
2023	—	`conf`	Impressions in Recommender Systems: Present and Future. IIR Fernando Benjamín Pérez Maurera, Maurizio Ferrari Dacrema, Pablo Castells, Paolo Cremonesi
2023	—	`conf`	Incorporating Impressions to Graph-Based Recommenders. LERI@RecSys Fernando Benjamín Pérez Maurera, Maurizio Ferrari Dacrema, Pablo Castells, Paolo Cremonesi
2023	—	`ed.`	Proceedings of the Workshop on Learning and Evaluating Recommendations with Impressions co-located with the 17th ACM Conference on Recommender Systems (RecSys 2023), Singapore, September 19th, 2023. LERI@RecSys Maurizio Ferrari Dacrema, Pablo Castells, Justin Basilico, Paolo Cremonesi
2023	—	`conf`	Quantum Computing Research Lines in the Italian Center for Supercomputing. SAMOS Alessandro Barenghi, Paolo Cremonesi, Gerardo Pelosi
2023	J	`jnl`	Report on the Workshop on Learning and Evaluating Recommendations with Impressions (LERI) at RecSys 2023. SIGIR Forum Maurizio Ferrari Dacrema, Pablo Castells, Justin Basilico, Paolo Cremonesi
2023	—	`conf`	Towards Improved QUBO Formulations of IR Tasks for Quantum Annealers. IIR Riccardo Pellini, Maurizio Ferrari Dacrema, Paolo Cremonesi
2023	A	`conf`	Workshop on Learning and Evaluating Recommendations with Impressions (LERI). RecSys Maurizio Ferrari Dacrema, Pablo Castells, Justin Basilico, Paolo Cremonesi
2023	—	`conf`	qCLEF: A Proposal to Evaluate Quantum Annealing for Information Retrieval and Recommender Systems. CLEF Andrea Pasin, Maurizio Ferrari Dacrema, Paolo Cremonesi, Nicola Ferro
2022	—	`conf`	An Evaluation Study of Generative Adversarial Networks for Collaborative Filtering. ECIR (1) Fernando Benjamín Pérez Maurera, Maurizio Ferrari Dacrema, Paolo Cremonesi
2022	J	`jnl`	An Evaluation Study of Generative Adversarial Networks for Collaborative Filtering. CoRR Fernando Benjamín Pérez Maurera, Maurizio Ferrari Dacrema, Paolo Cremonesi
2022	J	`jnl`	Analyzing and improving stability of matrix factorization for recommender systems. J. Intell. Inf. Syst. Edoardo D'Amico, Giovanni Gabbolini, Cesare Bernardis, Paolo Cremonesi
2022	—	`ch.`	Design and Evaluation of Cross-Domain Recommender Systems. Recommender Systems Handbook Maurizio Ferrari Dacrema, Iván Cantador, Ignacio Fernández-Tobías, Shlomo Berkovsky, Paolo Cremonesi
2022	—	`conf`	Evaluating Recommendations in a User Interface With Multiple Carousels. IIR Maurizio Ferrari Dacrema, Nicolò Felicioni, Paolo Cremonesi
2022	Misc	`conf`	Feature Selection for Classification with QAOA. QCE Gloria Turati, Maurizio Ferrari Dacrema, Paolo Cremonesi
2022	J	`jnl`	Feature Selection for Classification with QAOA. CoRR Gloria Turati, Maurizio Ferrari Dacrema, Paolo Cremonesi
2022	—	`conf`	Feature Selection via Quantum Annealers for Ranking and Classification Tasks. IIR Maurizio Ferrari Dacrema, Fabio Moroni, Riccardo Nembrini, Nicola Ferro, Guglielmo Faggioli, Paolo Cremonesi
2022	J	`jnl`	From Data Analysis to Intent-Based Recommendation: An Industrial Case Study in the Video Domain. IEEE Access Cesare Bernardis, Maurizio Ferrari Dacrema, Fernando Benjamín Pérez Maurera, Massimo Quadrana, Mario Scriminaci, Paolo Cremonesi
2022	J	`jnl`	GAN-based Matrix Factorization for Recommender Systems. CoRR Ervin Dervishaj, Paolo Cremonesi
2022	Misc	`conf`	GAN-based matrix factorization for recommender systems. SAC Ervin Dervishaj, Paolo Cremonesi
2022	J	`jnl`	NFC: a deep and hybrid item-based model for item cold-start recommendation. User Model. User Adapt. Interact. Cesare Bernardis, Paolo Cremonesi
2022	A*	`conf`	Off-Policy Evaluation with Deficient Support Using Side Information. NeurIPS Nicolò Felicioni, Maurizio Ferrari Dacrema, Marcello Restelli, Paolo Cremonesi
2022	J	`jnl`	Offline Evaluation of Recommender Systems in a User Interface With Multiple Carousels. Frontiers Big Data Maurizio Ferrari Dacrema, Nicolò Felicioni, Paolo Cremonesi
2022	Misc	`conf`	On the impact of data sampling on hyper-parameter optimisation of recommendation algorithms. SAC Matteo Montanari, Cesare Bernardis, Paolo Cremonesi
2022	J	`jnl`	Preface to the special issue on dynamic recommender systems and user models. User Model. User Adapt. Interact. João Vinagre, Alípio Mário Jorge, Marie Al-Ghossein, Albert Bifet, Paolo Cremonesi
2022	—	`ed.`	Proceedings of the 12th Italian Information Retrieval Workshop 2022, Milan, Italy, June 29-30, 2022. IIR Gabriella Pasi, Paolo Cremonesi, Salvatore Orlando, Markus Zanker, David Massimo, Gloria Turati
2022	—	`conf`	Recommending Relevant Papers to Conference Participants: a Deep Learning Driven Content-based Approach. UMAP (Adjunct Publication) Federico Rios, Paolo Rizzo, Francesco Puddu, Federico Romeo, Andrea Lentini, Giuseppe Asaro, Filippo Rescalli, Cristiana Bolchini, Paolo Cremonesi
2022	—	`conf`	Replication of Collaborative Filtering Generative Adversarial Networks on Recommender Systems. IIR Fernando Benjamín Pérez Maurera, Maurizio Ferrari Dacrema, Paolo Cremonesi
2022	—	`conf`	Replication of Recommender Systems with Impressions. IIR Fernando Benjamín Pérez Maurera, Maurizio Ferrari Dacrema, Paolo Cremonesi
2022	—	`ch.`	Session-Based Recommender Systems. Recommender Systems Handbook Dietmar Jannach, Massimo Quadrana, Paolo Cremonesi
2022	A*	`conf`	Towards Feature Selection for Ranking and Classification Exploiting Quantum Annealers. SIGIR Maurizio Ferrari Dacrema, Fabio Moroni, Riccardo Nembrini, Nicola Ferro, Guglielmo Faggioli, Paolo Cremonesi
2022	J	`jnl`	Towards Feature Selection for Ranking and Classification Exploiting Quantum Annealers. CoRR Maurizio Ferrari Dacrema, Fabio Moroni, Riccardo Nembrini, Nicola Ferro, Guglielmo Faggioli, Paolo Cremonesi
2022	A	`conf`	Towards Recommender Systems with Community Detection and Quantum Computing. RecSys Riccardo Nembrini, Costantino Carugno, Maurizio Ferrari Dacrema, Paolo Cremonesi
2022	A	`conf`	Towards the Evaluation of Recommender Systems with Impressions. RecSys Fernando Benjamín Pérez Maurera, Maurizio Ferrari Dacrema, Paolo Cremonesi
2022	Misc	`conf`	Virtual Network Function Embedding with Quantum Annealing. QCE Pietro Chiavassa, Andrea Marchesin, Ignazio Pedone, Maurizio Ferrari Dacrema, Paolo Cremonesi
2021	—	`conf`	A Methodology for the Offline Evaluation of Recommender Systems in a User Interface with Multiple Carousels. UMAP (Adjunct Publication) Nicolò Felicioni, Maurizio Ferrari Dacrema, Paolo Cremonesi
2021	J	`jnl`	A Methodology for the Offline Evaluation of Recommender Systems in a User Interface with Multiple Carousels. CoRR Nicolò Felicioni, Maurizio Ferrari Dacrema, Paolo Cremonesi
2021	J	`jnl`	A Troubling Analysis of Reproducibility and Progress in Recommender Systems Research. ACM Trans. Inf. Syst. Maurizio Ferrari Dacrema, Simone Boglio, Paolo Cremonesi, Dietmar Jannach
2021	J	`jnl`	CGPTuner: a Contextual Gaussian Process Bandit Approach for the Automatic Tuning of IT Configurations Under Varying Workload Conditions. Proc. VLDB Endow. Stefano Cereda, Stefano Valladares, Paolo Cremonesi, Stefano Doni
2021	A	`conf`	Eigenvalue Perturbation for Item-based Recommender Systems. RecSys Cesare Bernardis, Paolo Cremonesi
2021	J	`jnl`	Feature Selection for Recommender Systems with Quantum Computing. CoRR Riccardo Nembrini, Maurizio Ferrari Dacrema, Paolo Cremonesi
2021	J	`jnl`	Feature Selection for Recommender Systems with Quantum Computing. Entropy Riccardo Nembrini, Maurizio Ferrari Dacrema, Paolo Cremonesi
2021	—	`conf`	Measuring the Ranking Quality of Recommendations in a Two-Dimensional Carousel Setting. IIR Nicolò Felicioni, Maurizio Ferrari Dacrema, Fernando Benjamín Pérez Maurera, Paolo Cremonesi
2021	C	`conf`	Measuring the User Satisfaction in a Recommendation Interface with Multiple Carousels. IMX Nicolò Felicioni, Maurizio Ferrari Dacrema, Paolo Cremonesi
2021	J	`jnl`	Measuring the User Satisfaction in a Recommendation Interface with Multiple Carousels. CoRR Nicolò Felicioni, Maurizio Ferrari Dacrema, Paolo Cremonesi
2021	—	`conf`	On the application of Transformers for estimating the difficulty of Multiple-Choice Questions from text. BEA@EACL Luca Benedetto, Giovanni Aradelli, Paolo Cremonesi, Andrea Cappelli, Andrea Giussani, Roberto Turrin
2021	J	`jnl`	On the instability of embeddings for recommender systems: the case of Matrix Factorization. CoRR Giovanni Gabbolini, Edoardo D'Amico, Cesare Bernardis, Paolo Cremonesi
2021	Misc	`conf`	On the instability of embeddings for recommender systems: the case of matrix factorization. SAC Giovanni Gabbolini, Edoardo D'Amico, Cesare Bernardis, Paolo Cremonesi
2021	A	`conf`	Optimizing the Selection of Recommendation Carousels with Quantum Computing. RecSys Maurizio Ferrari Dacrema, Nicolò Felicioni, Paolo Cremonesi
2021	J	`jnl`	Progress in Recommender Systems Research: Crisis? What Crisis? AI Mag. Paolo Cremonesi, Dietmar Jannach
2021	J	`jnl`	Recommender Systems Leveraging Multimedia Content. ACM Comput. Surv. Yashar Deldjoo, Markus Schedl, Paolo Cremonesi, Gabriella Pasi
2021	Misc	`conf`	Towards the Application of Calibrated Transformers to the Unsupervised Estimation of Question Difficulty from Text. RANLP Ekaterina Loginova, Luca Benedetto, Dries F. Benoit, Paolo Cremonesi
2020	B	`conf`	A Collaborative Filtering Approach for the Automatic Tuning of Compiler Optimisations. LCTES Stefano Cereda, Gianluca Palermo, Paolo Cremonesi, Stefano Doni
2020	J	`jnl`	A Collaborative Filtering Approach for the Automatic Tuning of Compiler Optimisations. CoRR Stefano Cereda, Gianluca Palermo, Paolo Cremonesi, Stefano Doni
2020	A	`conf`	ContentWise Impressions: An Industrial Dataset with Impressions Included. CIKM Fernando Benjamín Pérez Maurera, Maurizio Ferrari Dacrema, Lorenzo Saule, Mario Scriminaci, Paolo Cremonesi
2020	J	`jnl`	ContentWise Impressions: An industrial dataset with impressions included. CoRR Fernando Benjamín Pérez Maurera, Maurizio Ferrari Dacrema, Lorenzo Saule, Mario Scriminaci, Paolo Cremonesi
2020	A	`conf`	Critically Examining the Claimed Value of Convolutions over User-Item Embedding Maps for Recommender Systems. CIKM Maurizio Ferrari Dacrema, Federico Parroni, Paolo Cremonesi, Dietmar Jannach
2020	J	`jnl`	Critically Examining the Claimed Value of Convolutions over User-Item Embedding Maps for Recommender Systems. CoRR Maurizio Ferrari Dacrema, Federico Parroni, Paolo Cremonesi, Dietmar Jannach
2020	—	`conf`	Introducing a Framework to Assess Newly Created Questions with Natural Language Processing. AIED (1) Luca Benedetto, Andrea Cappelli, Roberto Turrin, Paolo Cremonesi
2020	J	`jnl`	Introducing a framework to assess newly created questions with Natural Language Processing. CoRR Luca Benedetto, Andrea Cappelli, Roberto Turrin, Paolo Cremonesi
2020	A*	`conf`	Methodological Issues in Recommender Systems Research (Extended Abstract). IJCAI Maurizio Ferrari Dacrema, Paolo Cremonesi, Dietmar Jannach
2020	—	`conf`	Outfit Completion and Clothes Recommendation. CHI Extended Abstracts Gabriele Prato, Federico Sallemi, Paolo Cremonesi, Mario Scriminaci, Stefan Gudmundsson, Silvio Palumbo
2020	A	`conf`	R2DE: a NLP approach to estimating IRT parameters of newly generated questions. LAK Luca Benedetto, Andrea Cappelli, Roberto Turrin, Paolo Cremonesi
2020	J	`jnl`	R2DE: a NLP approach to estimating IRT parameters of newly generated questions. CoRR Luca Benedetto, Andrea Cappelli, Roberto Turrin, Paolo Cremonesi
2019	J	`jnl`	A Troubling Analysis of Reproducibility and Progress in Recommender Systems Research. CoRR Maurizio Ferrari Dacrema, Simone Boglio, Paolo Cremonesi, Dietmar Jannach
2019	J	`jnl`	A Virtual Teaching Assistant for Personalized Learning. CoRR Luca Benedetto, Paolo Cremonesi, Manuel Parenti
2019	—	`conf`	A pragmatic and industry-aware approach toward the design of on-line recommender systems. ORSUM@RecSys Paolo Cremonesi
2019	J	`jnl`	Are We Really Making Much Progress? A Worrying Analysis of Recent Neural Recommendation Approaches. CoRR Maurizio Ferrari Dacrema, Paolo Cremonesi, Dietmar Jannach
2019	A	`conf`	Are we really making much progress? A worrying analysis of recent neural recommendation approaches. RecSys Maurizio Ferrari Dacrema, Paolo Cremonesi, Dietmar Jannach
2019	A	`conf`	Estimating Confidence of Individual User Predictions in Item-based Recommender Systems. UMAP Cesare Bernardis, Maurizio Ferrari Dacrema, Paolo Cremonesi
2019	J	`jnl`	Movie genome: alleviating new item cold start in movie recommendation. User Model. User Adapt. Interact. Yashar Deldjoo, Maurizio Ferrari Dacrema, Mihai Gabriel Constantin, Hamid Eghbal-zadeh, Stefano Cereda, Markus Schedl, Bogdan Ionescu, Paolo Cremonesi
2019	—	`conf`	Rexy, A Configurable Application for Building Virtual Teaching Assistants. INTERACT (2) Luca Benedetto, Paolo Cremonesi
2019	—	`conf`	Towards Evaluating User Profiling Methods Based on Explicit Ratings on Item Features. IntRS@RecSys Luca Luciano Costanzo, Yashar Deldjoo, Maurizio Ferrari Dacrema, Markus Schedl, Paolo Cremonesi
2019	J	`jnl`	Towards Evaluating User Profiling Methods Based on Explicit Ratings on Item Features. CoRR Luca Luciano Costanzo, Yashar Deldjoo, Maurizio Ferrari Dacrema, Markus Schedl, Paolo Cremonesi
2019	—	`conf`	Tutorial: Sequence-Aware Recommender Systems. WWW (Companion Volume) Massimo Quadrana, Dietmar Jannach, Paolo Cremonesi
2018	—	`conf`	A Virtual Teaching Assistant for Personalized Learning. CIKM Workshops Luca Benedetto, Paolo Cremonesi, Manuel Parenti
2018	J	`jnl`	A novel graph-based model for hybrid recommendations in cold-start scenarios. CoRR Cesare Bernardis, Maurizio Ferrari Dacrema, Paolo Cremonesi
2018	A	`conf`	Audio-visual encoding of multimedia content for enhancing movie recommendations. RecSys Yashar Deldjoo, Mihai Gabriel Constantin, Hamid Eghbal-zadeh, Bogdan Ionescu, Markus Schedl, Paolo Cremonesi
2018	—	`conf`	Content-Based Multimedia Recommendation Systems: Definition and Application Domains. IIR Yashar Deldjoo, Markus Schedl, Paolo Cremonesi, Gabriella Pasi
2018	—	`conf`	Deriving Item Features Relevance from Collaborative Domain Knowledge. KaRS@RecSys Maurizio Ferrari Dacrema, Alberto Gasparin, Paolo Cremonesi
2018	J	`jnl`	Deriving item features relevance from collaborative domain knowledge. CoRR Maurizio Ferrari Dacrema, Alberto Gasparin, Paolo Cremonesi
2018	J	`jnl`	Eigenvalue analogy for confidence estimation in item-based recommender systems. CoRR Maurizio Ferrari Dacrema, Paolo Cremonesi
2018	A	`conf`	MMTF-14K: a multifaceted movie trailer feature dataset for recommendation and retrieval. MMSys Yashar Deldjoo, Mihai Gabriel Constantin, Bogdan Ionescu, Markus Schedl, Paolo Cremonesi
2018	J	`jnl`	Sequence-Aware Recommender Systems. CoRR Massimo Quadrana, Paolo Cremonesi, Dietmar Jannach
2018	J	`jnl`	Sequence-Aware Recommender Systems. ACM Comput. Surv. Massimo Quadrana, Paolo Cremonesi, Dietmar Jannach
2018	A	`conf`	Sequence-aware Recommender Systems. UMAP Massimo Quadrana, Paolo Cremonesi, Dietmar Jannach
2018	A	`conf`	Sequence-aware recommendation. RecSys Massimo Quadrana, Paolo Cremonesi
2018	J	`jnl`	Social Network based Short-Term Stock Trading System. CoRR Paolo Cremonesi, Chiara Francalanci, Alessandro Poli, Roberto Pagano, Luca Mazzoni, Alberto Maggioni, Mehdi Elahi
2018	—	`ch.`	User Preference Sources: Explicit vs. Implicit Feedback. Collaborative Recommendations Paolo Cremonesi, Franca Garzotto, Maurizio Ferrari Dacrema
2018	J	`jnl`	Using visual features based on MPEG-7 and deep learning for movie recommendation. Int. J. Multim. Inf. Retr. Yashar Deldjoo, Mehdi Elahi, Massimo Quadrana, Paolo Cremonesi
2017	A	`conf`	Deriving Item Features Relevance from Past User Interactions. UMAP Leonardo Cella, Stefano Cereda, Massimo Quadrana, Paolo Cremonesi
2017	—	`conf`	Estimate Features Relevance for Groups of Users. IIR Stefano Cereda, Leonardo Cella, Paolo Cremonesi
2017	A	`conf`	Exploring the Semantic Gap for Movie Recommendations. RecSys Mehdi Elahi, Yashar Deldjoo, Farshad Bakhshandegan Moghaddam, Leonardo Cella, Stefano Cereda, Paolo Cremonesi
2017	—	`conf`	Kernalized Collaborative Contextual Bandits. RecSys Posters Leonardo Cella, Romaric Gaudel, Paolo Cremonesi
2017	—	`conf`	Letting Users Assist What to Watch: An Interactive Query-by-Example Movie Recommendation System. IIR Yashar Deldjoo, Cristina Frà, Massimo Valla, Paolo Cremonesi
2017	A	`conf`	Personalizing Session-based Recommendations with Hierarchical Recurrent Neural Networks. RecSys Massimo Quadrana, Alexandros Karatzoglou, Balázs Hidasi, Paolo Cremonesi
2017	J	`jnl`	Personalizing Session-based Recommendations with Hierarchical Recurrent Neural Networks. CoRR Massimo Quadrana, Alexandros Karatzoglou, Balázs Hidasi, Paolo Cremonesi
2017	A	`ed.`	Proceedings of the Eleventh ACM Conference on Recommender Systems, RecSys 2017, Como, Italy, August 27-31, 2017 RecSys Paolo Cremonesi, Francesco Ricci, Shlomo Berkovsky, Alexander Tuzhilin
2017	—	`conf`	The Importance of Song Context in Music Playlists. RecSys Posters Andreu Vall, Massimo Quadrana, Markus Schedl, Gerhard Widmer, Paolo Cremonesi
2017	C	`conf`	The effect of different video summarization models on the quality of video recommendation based on low-level visual features. CBMI Yashar Deldjoo, Paolo Cremonesi, Markus Schedl, Massimo Quadrana
2017	J	`jnl`	Toward Active Learning in Cross-domain Recommender Systems. CoRR Roberto Pagano, Massimo Quadrana, Mehdi Elahi, Paolo Cremonesi
2017	J	`jnl`	User interface patterns in recommendation-empowered content intensive multimedia applications. Multim. Tools Appl. Paolo Cremonesi, Mehdi Elahi, Franca Garzotto
2017	J	`jnl`	Using Mise-En-Scène Visual Features based on MPEG-7 and Deep Learning for Movie Recommendation. CoRR Yashar Deldjoo, Massimo Quadrana, Mehdi Elahi, Paolo Cremonesi
2016	A	`conf`	Algorithms Aside: Recommendation As The Lens Of Life. RecSys Tamas Motajcsek, Jean-Yves Le Moine, Martha A. Larson, Daniel Kohlsdorf, Andreas Lommatzsch, Domonkos Tikk, Omar Alonso, Paolo Cremonesi, Andrew M. Demetriou, Kristaps Dobrajs, Franca Garzotto, Ayse Göker, Frank Hopfgartner, Davide Malagoli, Thuy Ngoc Nguyen, Jasminko Novak, Francesco Ricci, Mario Scriminaci, Marko Tkalcic, Anna Zacchi
2016	B	`conf`	Bridging Physical Space and Digital Landscape to Drive Retail Innovation. AVI Antonella Di Rienzo, Paolo Tagliaferri, Francesco Arenella, Franca Garzotto, Cristina Frà, Paolo Cremonesi, Massimo Valla
2016	J	`jnl`	Compact Markov-modulated models for multiclass trace fitting. Eur. J. Oper. Res. Giuliano Casale, Andrea Sansottera, Paolo Cremonesi
2016	J	`jnl`	Content-Based Video Recommendation System Based on Stylistic Visual Features. J. Data Semant. Yashar Deldjoo, Mehdi Elahi, Paolo Cremonesi, Franca Garzotto, Pietro Piazzolla, Massimo Quadrana
2016	—	`conf`	Dynamic and Interactive Lighting for Fashion Store Windows. CHI Extended Abstracts Paolo Cremonesi, Antonella Di Rienzo, Franca Garzotto, Luigi Oliveto, Pietro Piazzolla
2016	—	`conf`	Explicit Elimination of Similarity Blocking for Session-based Recommendation. RecSys Posters Mattia Brusamento, Roberto Pagano, Martha A. Larson, Paolo Cremonesi
2016	—	`conf`	How to Combine Visual Features with Tags to Improve Movie Recommendation Accuracy? EC-Web Yashar Deldjoo, Mehdi Elahi, Paolo Cremonesi, Farshad Bakhshandegan Moghaddam, Andrea Luigi Edoardo Caielli
2016	J	`jnl`	Introduction to the Special Issue on Recommender System Benchmarking. ACM Trans. Intell. Syst. Technol. Paolo Cremonesi, Alan Said, Domonkos Tikk, Michelle X. Zhou
2016	—	`conf`	Multi-stack ensemble for job recommendation. RecSys Challenge Tommaso Carpi, Marco Edemanti, Ervin Kamberoski, Elena Sacchi, Paolo Cremonesi, Roberto Pagano, Massimo Quadrana
2016	—	`conf`	Recommending Movies Based on Mise-en-Scene Design. CHI Extended Abstracts Yashar Deldjoo, Mehdi Elahi, Paolo Cremonesi, Franca Garzotto, Pietro Piazzolla
2016	B	`conf`	Smart Lighting for Fashion Store Windows. AVI Paolo Cremonesi, Antonella Di Rienzo, Franca Garzotto, Luigi Oliveto, Pietro Piazzolla
2016	J	`jnl`	Sparse vs. Non-sparse: Which One Is Better for Practical Visual Tracking? CoRR Yashar Deldjoo, Shengping Zhang, Bahman Zanj, Paolo Cremonesi, Matteo Matteucci
2016	A	`conf`	The Contextual Turn: from Context-Aware to Context-Driven Recommender Systems. RecSys Roberto Pagano, Paolo Cremonesi, Martha A. Larson, Balázs Hidasi, Domonkos Tikk, Alexandros Karatzoglou, Massimo Quadrana
2016	—	`conf`	Using Visual Features and Latent Factors for Movie Recommendation. CBRecSys@RecSys Yashar Deldjoo, Mehdi Elahi, Paolo Cremonesi
2016	C	`conf`	vMannequin: A Fashion Store Concept Design Tool. ECMS Paolo Cremonesi, Franca Garzotto, Marco Gribaudo, Pietro Piazzolla, Mauro Iacono
2015	—	`conf`	30Music Listening and Playlists Dataset. RecSys Posters Roberto Turrin, Massimo Quadrana, Andrea Condorelli, Roberto Pagano, Paolo Cremonesi
2015	—	`ch.`	Cross-Domain Recommender Systems. Recommender Systems Handbook Iván Cantador, Ignacio Fernández-Tobías, Shlomo Berkovsky, Paolo Cremonesi
2015	—	`conf`	Decision Making through Polarized Summarization of User Reviews. DMRS Paolo Cremonesi, Franca Garzotto, Matteo Guarnerio, Francesco Gusmeroli, Roberto Pagano
2015	—	`conf`	Integrated Interaction with Large and Small Devices. FutureMobileUI@MobiSys Antonella Di Rienzo, Franca Garzotto, Paolo Cremonesi, Cristina Frà, Massimo Valla
2015	—	`conf`	Interaction Design Patterns in Recommender Systems. CHItaly Paolo Cremonesi, Mehdi Elahi, Franca Garzotto
2015	—	`conf`	Investigating the Decision Making Process of Users based on the PoliMovie Dataset. DMRS Mona Naseri, Mehdi Elahi, Paolo Cremonesi
2015	B	`conf`	Making Fashion More Trendy through Touchless Interactive Displays Integrated with Mobile Devices. ITS Franca Garzotto, Antonella Di Rienzo, Ayse Naciye Çelebi Yilmaz, Luigi Oliveto, Paolo Cremonesi, Cristina Frà, Massimo Valla
2015	—	`conf`	Personalized and Context-Aware TV Program Recommendations Based on Implicit Feedback. EC-Web Paolo Cremonesi, Primo Modica, Roberto Pagano, Emanuele Rabosio, Letizia Tanca
2015	—	`conf`	Toward Building a Content-Based Video Recommendation System Based on Low-Level Features. EC-Web Yashar Deldjoo, Mehdi Elahi, Massimo Quadrana, Paolo Cremonesi
2015	—	`conf`	Toward Effective Movie Recommendations Based on Mise-en-Scène Film Styles. CHItaly Yashar Deldjoo, Mehdi Elahi, Massimo Quadrana, Paolo Cremonesi, Franca Garzotto
2015	—	`conf`	Towards a smart retail environment. UbiComp/ISWC Adjunct Antonella Di Rienzo, Franca Garzotto, Paolo Cremonesi, Cristina Frà, Massimo Valla
2014	—	`ch.`	Benchmarking - A Methodology for Ensuring the Relative Quality of Recommendation Systems in Software Engineering. Recommendation Systems in Software Engineering Alan Said, Domonkos Tikk, Paolo Cremonesi
2014	A	`conf`	Cross-domain recommendations without overlapping data: myth or reality? RecSys Paolo Cremonesi, Massimo Quadrana
2014	B	`conf`	First International Workshop on User Interfaces for Crowdsourcing and Human Computation. AVI Alessandro Bozzon, Lora Aroyo, Paolo Cremonesi
2014	J	`jnl`	Indirect estimation of service demands in the presence of structural changes. Perform. Evaluation Paolo Cremonesi, Andrea Sansottera
2014	A	`conf`	Overview of ACM RecSys CrowdRec 2014 workshop: crowdsourcing and human computation for recommender systems. RecSys Martha A. Larson, Paolo Cremonesi, Alexandros Karatzoglou
2014	B	`conf`	Personalized interaction on large displays: the StreetSmart project approach. AVI Paolo Cremonesi, Antonella Di Rienzo, Cristina Frà, Franca Garzotto, Luigi Oliveto, Massimo Valla
2014	B	`conf`	Polarized review summarization as decision making tool. AVI Paolo Cremonesi, Raffaele Facendola, Franca Garzotto, Matteo Guarnerio, Mattia Natali, Roberto Pagano
2014	A	`conf`	REDD 2014 - international workshop on recommender systems evaluation: dimensions and design. RecSys Panagiotis Adamopoulos, Alejandro Bellogín, Pablo Castells, Paolo Cremonesi, Harald Steck
2014	—	`conf`	Recommending without short head. WWW (Companion Volume) Paolo Cremonesi, Franca Garzotto, Roberto Pagano, Massimo Quadrana
2014	A	`conf`	Tutorial on cross-domain recommender systems. RecSys Iván Cantador, Paolo Cremonesi
2014	—	`conf`	User-Item Reciprocity in Recommender Systems: Incentivizing the Crowd. UMAP Workshops Alan Said, Martha A. Larson, Domonkos Tikk, Paolo Cremonesi, Alexandros Karatzoglou, Frank Hopfgartner, Roberto Turrin, Joost Geurts
2013	—	`ed.`	11th European Conference on Interactive TV and Video, EuroITV '13, Como, Italy, June 24-26, 2013 EuroITV Paolo Paolini, Paolo Cremonesi, George Lekakos
2013	—	`ch.`	A Graph Optimization Approach to Item-Based Collaborative Filtering. Recent Advances in Computational Optimization Borzou Rostami, Paolo Cremonesi, Federico Malucelli
2013	J	`jnl`	EnergIT: A Methodology for the Incremental Green Design of Data Centers. Int. J. Green Comput. Eugenio Capra, Paolo Cremonesi, Chiara Francalanci, Francesco Merlo, Nicola Parolini
2013	A	`conf`	Evaluating top-n recommendations "when the best are gone". RecSys Paolo Cremonesi, Franca Garzotto, Massimo Quadrana
2013	A	`conf`	Fitting second-order acyclic Marked Markovian Arrival Processes. DSN Andrea Sansottera, Giuliano Casale, Paolo Cremonesi
2013	—	`conf`	Optimal virtual machine scheduling with anvik. VALUETOOLS Andrea Sansottera, Paolo Cremonesi
2013	—	`conf`	Smoothly Extending e-Tourism Services with Personalized Recommendations: A Case Study. EC-Web Paolo Cremonesi, Franca Garzotto
2013	—	`conf`	TV program detection in tweets. EuroITV Paolo Cremonesi, Roberto Pagano, Stefano Pasquali, Roberto Turrin
2013	—	`conf`	User-Centric vs. System-Centric Evaluation of Recommender Systems. INTERACT (3) Paolo Cremonesi, Franca Garzotto, Roberto Turrin
2012	—	`conf`	A comparison of recommender systems for mashup composition. RSSE@ICSE Paolo Cremonesi, Matteo Picozzi, Maristella Matera
2012	C	`conf`	An Application of Bicriterion Shortest Paths to Collaborative Filtering. FedCSIS Federico Malucelli, Paolo Cremonesi, Borzou Rostami
2012	—	`conf`	Consolidation of multi-tier workloads with performance and reliability constraints. HPCS Andrea Sansottera, Davide Zoni, Paolo Cremonesi, William Fornaciari
2012	—	`conf`	Decision-Making in Recommender Systems: The Role of User's Goals and Bounded Resources. Decisions@RecSys Paolo Cremonesi, Antonio Donatacci, Franca Garzotto, Roberto Turrin
2012	—	`conf`	Indirect Estimation of Service Demands in the Presence of Structural Changes. QEST Paolo Cremonesi, Andrea Sansottera
2012	J	`jnl`	Investigating the Persuasion Potential of Recommender Systems from a Quality Perspective: An Empirical Study. ACM Trans. Interact. Intell. Syst. Paolo Cremonesi, Franca Garzotto, Roberto Turrin
2012	J	`jnl`	Modeling response times in the Google ROADEF/EURO challenge. SIGMETRICS Perform. Evaluation Rev. Paolo Cremonesi, Andrea Sansottera
2012	—	`conf`	Recommender Systems Evaluation: A 3D Benchmark. RUE@RecSys Alan Said, Domonkos Tikk, Klara Stumpf, Yue Shi, Martha A. Larson, Paolo Cremonesi
2012	A	`conf`	User effort vs. accuracy in rating-based elicitation. RecSys Paolo Cremonesi, Franca Garzotto, Roberto Turrin
2012	B	`conf`	User profiling vs. accuracy in recommender system user experience. AVI Paolo Cremonesi, Francesco Epifania, Franca Garzotto
2012	Misc	`conf`	User-Centered Evaluation of Recommender Systems with Comparison between Short and Long Profile. CISIS Francesco Epifania, Paolo Cremonesi
2011	—	`ch.`	A Recommender System for an IPTV Service Provider: a Real Large-Scale Production Environment. Recommender Systems Handbook Riccardo Bambini, Paolo Cremonesi, Roberto Turrin
2011	—	`conf`	Comparative evaluation of recommender system quality. CHI Extended Abstracts Paolo Cremonesi, Franca Garzotto, Sara Negro, Alessandro Vittorio Papadopoulos, Roberto Turrin
2011	J	`jnl`	Cooling-aware workload placement with performance constraints. Perform. Evaluation Andrea Sansottera, Paolo Cremonesi
2011	—	`conf`	Cross-Domain Recommender Systems. ICDM Workshops Paolo Cremonesi, Antonio Tripodi, Roberto Turrin
2011	—	`conf`	Hybrid algorithms for recommending new items. HetRec@RecSys Paolo Cremonesi, Roberto Turrin, Fabio Airoldi
2011	—	`conf`	Looking for "Good" Recommendations: A Comparative Evaluation of Recommender Systems. INTERACT (3) Paolo Cremonesi, Franca Garzotto, Sara Negro, Alessandro Vittorio Papadopoulos, Roberto Turrin
2011	—	`conf`	On the Cooling-Aware Workload Placement Problem. AI for Data Center Management and Cloud Computing Paolo Cremonesi, Andrea Sansottera, Stefano Gualandi
2011	B	`conf`	Optimizing cooling and server power consumption. ICCP Paolo Cremonesi, Andrea Sansottera, Stefano Gualandi
2010	B	`conf`	A Constraint Programming Approach for the Service Consolidation Problem. CPAIOR Kanika Dhyani, Stefano Gualandi, Paolo Cremonesi
2010	J	`jnl`	A unified framework for the bottleneck analysis of multiclass queueing networks. Perform. Evaluation Jonatha Anselmi, Paolo Cremonesi
2010	—	`conf`	Controlling Consistency in Top-N Recommender Systems. ICDM Workshops Paolo Cremonesi, Roberto Turrin
2010	A	`conf`	Performance of recommender algorithms on top-n recommendation tasks. RecSys Paolo Cremonesi, Yehuda Koren, Roberto Turrin
2010	—	`conf`	Service Time Estimation with a Refinement Enhanced Hybrid Clustering Algorithm. ASMTA Paolo Cremonesi, Kanika Dhyani, Andrea Sansottera
2010	—	`conf`	Time-evolution of IPTV recommender systems. EuroITV Paolo Cremonesi, Roberto Turrin
2009	A	`conf`	Analysis of cold-start recommendations in IPTV systems. RecSys Paolo Cremonesi, Roberto Turrin
2009	—	`conf`	Do Metrics Make Recommender Algorithms?. AINA Workshops Elica Campochiaro, Riccardo Casatta, Paolo Cremonesi, Roberto Turrin
2009	—	`conf`	Estimating Server Power Consumption. Int. CMG Conference Paolo Cremonesi, Giovanni Versaci
2009	—	`conf`	How to Integrate Load Testing with Capacity Planning. Int. CMG Conference Paolo Cremonesi, Giuseppe Nardiello
2009	J	`jnl`	Modeling the Effects of Node Heterogeneity on the Performance of Grid Applications. J. Networks Paolo Cremonesi, Roberto Turrin, Vassil N. Alexandrov
2009	—	`conf`	On the Consolidation of Data-Centers with Performance Constraints. QoSA Jonatha Anselmi, Paolo Cremonesi, Edoardo Amaldi
2009	—	`conf`	Predicting SPEC Benchmarks Values for Untested Systems. Int. CMG Conference Paolo Cremonesi, Marco Bertoli
2008	B	`conf`	Bounding the Performance of BCMP Networks with Load-Dependent Stations. MASCOTS Jonatha Anselmi, Paolo Cremonesi
2008	—	`conf`	Exact Asymptotic Analysis of Closed BCMP Networks with a Common Bottleneck. ASMTA Jonatha Anselmi, Paolo Cremonesi
2008	C	`conf`	Robust Workload Estimation in Queueing Network Performance Models. PDP Giuliano Casale, Paolo Cremonesi, Roberto Turrin
2008	—	`conf`	Service Consolidation with End-to-End Response Time Constraints. EUROMICRO-SEAA Jonatha Anselmi, Edoardo Amaldi, Paolo Cremonesi
2007	—	`conf`	A QoS-based selection approach of autonomic grid services. SOCP@HPDC Jonatha Anselmi, Danilo Ardagna, Paolo Cremonesi
2007	B	`conf`	Approximate Solution of Multiclass Queuing Networks with Region Constraints. MASCOTS Jonatha Anselmi, Giuliano Casale, Paolo Cremonesi
2007	—	`conf`	How to Select Significant Workloads in Performance Models. Int. CMG Conference Paolo Cremonesi, Giuliano Casale
2006	—	`conf`	Identifying network failures and evaluating link MTBF from utilization logs. Int. CMG Conference Paolo Cremonesi, Giuliano Casale, Stefano Visconti
2006	J	`jnl`	Parallel, distributed and network-based processing. J. Syst. Archit. Paolo Cremonesi
2006	—	`conf`	Performance models for hierarchical grid architectures. GRID Paolo Cremonesi, Roberto Turrin
2005	—	`conf`	Performance Issues in Video Streaming Environments. FIRB-Perf Giuliano Casale, Paolo Cremonesi, Giuseppe Serazzi, Stefano Zanero
2004	—	`conf`	A Characterization Methodology for Parallel Systems Benchmarks. PDCS Paolo Cremonesi, Lorenzo Muttoni, Giuseppe Serazzi
2002	J	`jnl`	A Unifying Framework for the Approximate Solution of Closed Multiclass Queuing Networks. IEEE Trans. Computers Paolo Cremonesi, Paul J. Schweitzer, Giuseppe Serazzi
2002	Misc	`conf`	End-to-End Performance of Web Services. Performance Paolo Cremonesi, Giuseppe Serazzi
2002	J	`jnl`	Integrated Performance Models for SPMD Applications and MIMD Architectures. IEEE Trans. Parallel Distributed Syst. Paolo Cremonesi, Claudio Gennaro
2002	J	`jnl`	Integrated Performance Models for SPMD Applications and MIMD Architectures. IEEE Trans. Parallel Distributed Syst. Paolo Cremonesi, Claudio Gennaro
2001	J	`jnl`	Analysis and implementation of a parallelization strategy on a Navier-Stokes solver for shear flow simulations. Parallel Comput. Giuseppe Passoni, Paolo Cremonesi, Giancarlo Alfonsi
2000	—	`conf`	Xaba: Exact, Approximate, and Asymptotic Solvers for Multi-class Closed Queueing Networks. Computer Performance Evaluation / TOOLS Paolo Cremonesi, Emilia Rosti, Giuseppe Serazzi
1999	J	`jnl`	Performance evaluation of parallel systems. Parallel Comput. Paolo Cremonesi, Emilia Rosti, Giuseppe Serazzi, Evgenia Smirni
1999	J	`jnl`	Workload models of VBR video traffic and their use in resource allocation policies. IEEE/ACM Trans. Netw. Pietro Manzoni, Paolo Cremonesi, Giuseppe Serazzi
1998	—	`conf`	I/O Performance in Hybrid MIMD+SIMD Machines. HPCN Europe Paolo Cremonesi, Claudio Gennaro, Roberto Marega
1997	—	`conf`	Performance Characterization of Quadrics Machines Based on HighLevel Languages. EUROMICRO Paolo Cremonesi, Matteo Pugassi
1995	C	`conf`	A control architecture for managing instructions among partitions of a data parallel structure. PDP Paolo Cremonesi, Domenico G. Sorrenti
1995	—	`conf`	Kohonen neural networks: a parallel algorithm for automatic signal reconstruction. HPCN Europe Paolo Cremonesi
1994	C	`conf`	Image Processing on Parallel Machines: A Protocol For Managing Global Objects. PDP Paolo Cremonesi, Nello Scarabottolo, Domenico G. Sorrenti
1994	—	`conf`	Texture analysis for image processing on general-purpose parallel machines. ISPAN Lilla Böröczky, Paolo Cremonesi, Nello Scarabottolo
1993	J	`jnl`	An Adjustable-Rate Multilevel Coded Modulation System: Analysis and Implementation. Eur. Trans. Telecommun. Paolo Cremonesi, Roberto Pellizzoni, Arnaldo Spalvieri, Ezio Biglieri
1993	C	`conf`	Parallel algorithms applied to direct simulation methods. PDP Paolo Cremonesi, M. Ferrari, Aldo Frezzotti, Raffaella Pavani