Sfoglia per Autore
Estimating confidence of individual user predictions in item-based recommender systems
2019-01-01 Bernardis, C.; Ferrari Dacrema, M.; Cremonesi, P.
Are we Really Making Much Progress? A Worrying Analysis of Recent Neural Recommendation Approaches
2019-01-01 Ferrari Dacrema, Maurizio; Cremonesi, Paolo; Jannach, Dietmar
Towards Evaluating User Profiling Methods Based on Explicit Ratings on Item Features
2019-01-01 Costanzo, Luca Luciano; Deldjoo, Yashar; Ferrari Dacrema, Maurizio; Schedl, Markus; Cremonesi, Paolo
A Virtual Teaching Assistant for Personalized Learning
2019-01-01 Benedetto, Luca; Cremonesi, Paolo; Parenti, Manuel
Methodological Issues in Recommender Systems Research (Extended Abstract)
2020-01-01 Ferrari Dacrema, Maurizio; Cremonesi, Paolo; Jannach, Dietmar
Introducing a Framework to Assess Newly Created Questions with Natural Language Processing
2020-01-01 Benedetto, Luca; Cappelli, Andrea; Turrin, Roberto; Cremonesi, Paolo
R2DE: A NLP Approach to Estimating IRT Parameters of Newly Generated Questions
2020-01-01 Benedetto, Luca; Cappelli, Andrea; Turrin, Roberto; Cremonesi, Paolo
Critically Examining the Claimed Value of Convolutions over User-Item Embedding Maps for Recommender Systems
2020-01-01 Ferrari Dacrema, Maurizio; Parroni, Federico; Cremonesi, Paolo; Jannach, Dietmar
Outfit Completion and Clothes Recommendation
2020-01-01 Prato, Gabriele; Sallemi, Federico; Cremonesi, Paolo; Scriminaci, Mario; Gudmundsson, Stefan; Palumbo, Silvio
A Collaborative Filtering Approach for the Automatic Tuning of Compiler Optimisations
2020-01-01 Cereda, Stefano; Palermo, Gianluca; Cremonesi, Paolo; Doni, Stefano
ContentWise Impressions: An Industrial Dataset with Impressions Included
2020-01-01 Perez Maurera, Fernando B.; Ferrari Dacrema, Maurizio; Saule, Lorenzo; Scriminaci, Mario; Cremonesi, Paolo
Recommender Systems Leveraging Multimedia Content
2020-01-01 Deldjoo, Yashar; Schedl, Markus; Cremonesi, Paolo; Pasi, Gabriella
A Methodology for the Offline Evaluation of Recommender Systems in a User Interface with Multiple Carousels
2021-01-01 Felicioni, N.; Ferrari Dacrema, M.; Cremonesi, P.
NFC: a Deep and Hybrid Item-based Model for Item Cold-start Recommendation
2021-01-01 Bernardis, Cesare; Cremonesi, Paolo
Towards the Application of Calibrated Transformers to the Unsupervised Estimation of Question Difficulty from Text
2021-01-01 Loginova, Ekaterina; Benedetto, Luca; Benoit, Dries; Cremonesi, Paolo
On the Application of Transformers for Estimating the Difficulty of Multiple-Choice Questions from Text
2021-01-01 Benedetto, Luca; Cremonesi, Paolo; Aradelli, Giovanni; Cappelli, Andrea; Giussani, Andrea; Turrin, Roberto
CGPTUNER: A Contextual Gaussian Process Bandit Approach for the Automatic Tuning of IT Configurations Under Varying Workload Conditions
2021-01-01 Cereda, Stefano; Valladares, Stefano; Cremonesi, Paolo; Doni, Stefano
A Troubling Analysis of Reproducibility and Progress in Recommender Systems Research
2021-01-01 Ferrari Dacrema, Maurizio; Boglio, Simone; Cremonesi, Paolo; Jannach, Dietmar
On the Instability of Embeddings for Recommender Systems: the Case of Matrix Factorization
2021-01-01 Gabbolini, Giovanni; D'Amico, Edoardo; Bernardis, Cesare; Cremonesi, Paolo
Measuring the User Satisfaction in a Recommendation Interface with Multiple Carousels
2021-01-01 Felicioni, Nicolò; Ferrari Dacrema, Maurizio; Cremonesi, Paolo
Eigenvalue Perturbation for Item-based Recommender Systems
2021-01-01 Bernardis, Cesare; Cremonesi, Paolo
Progress in Recommender Systems Research: Crisis? What Crisis?
2021-01-01 Cremonesi, Paolo; Jannach, Dietmar
Feature selection for Recommender Systems with Quantum Computing
2021-01-01 Nembrini, Riccardo; Ferrari Dacrema, Maurizio; Cremonesi, Paolo
Optimizing the Selection of Recommendation Carousels with Quantum Computing
2021-01-01 Ferrari Dacrema, Maurizio; Felicioni, Nicolò; Cremonesi, Paolo
Measuring the Ranking Quality of Recommendations in a Two-Dimensional Carousel Setting
2021-01-01 Felicioni, Nicolò; Ferrari Dacrema, Maurizio; Perez Maurera, Fernando B.; Cremonesi, Paolo
A survey on recent approaches to question difficulty estimation from text
2022-01-01 Benedetto, Luca; Cremonesi, Paolo; Caines, Andrew; Buttery, Paula; Cappelli, Andrea; Giussani, Andrea; Turrin, Roberto
Session-Based Recommender Systems
2022-01-01 Jannach, Dietmar; Quadrana, Massimo; Cremonesi, Paolo
Replication of collaborative Filtering Generative Adversarial Networks on Recommender Systems
2022-01-01 Perez Maurera, Fernando Benjamin; Ferrari Dacrema, Maurizio; Cremonesi, Paolo
Replication of Recommender Systems with Impressions
2022-01-01 Perez Maurera, Fernando Benjamin; Ferrari Dacrema, Maurizio; Cremonesi, Paolo
On the Impact of Data Sampling on Hyper-Parameter Optimisation of Recommendation Algorithms
2022-01-01 Montanari, Matteo; Bernardis, Cesare; Cremonesi, Paolo
From Data Analysis to Intent-based Recommendation: an Industrial Case Study in the Video Domain
2022-01-01 Bernardis, Cesare; Ferrari Dacrema, Maurizio; Perez Maurera, Fernando B.; Quadrana, Massimo; Scriminaci, Mario; Cremonesi, Paolo
Feature Selection for Classification with QAOA
2022-01-01 Turati, G.; Ferrari Dacrema, M.; Cremonesi, P.
Towards Feature Selection for Ranking and Classification Exploiting Quantum Annealers
2022-01-01 Ferrari Dacrema, Maurizio; Moroni, Fabio; Nembrini, Riccardo; Ferro, Nicola; Faggioli, Guglielmo; Cremonesi, Paolo.
Recommending Relevant Papers to Conference Participants: a Deep Learning Driven Content-based Approach
2022-01-01 Rios, Federico; Rizzo, Paolo; Puddu, Francesco; Romeo, Federico; Lentini, Andrea; Asaro, Giuseppe; Rescalli, Filippo; Bolchini, Cristiana; Cremonesi, Paolo
Preface to the Special Issue on Dynamic Recommender Systems and User Models
2022-01-01 Vinagre, João; Jorge, Alipio M.; Al-Ghossein, Marie; Bifet, Albert; Cremonesi, Paolo
Evaluating the Job Shop Scheduling Problem on a D-Wave Quantum Annealer
2022-01-01 Carugno, Costantino; Ferrari Dacrema, Maurizio; Cremonesi, Paolo
Analyzing and Improving Stability of Matrix Factorization for Recommender Systems
2022-01-01 D'Amico, Edoardo; Gabbolini, Giovanni; Bernardis, Cesare; Cremonesi, Paolo
GAN-based Matrix Factorization for Recommender Systems
2022-01-01 Dervishaj, Ervin; Cremonesi, Paolo
Virtual Network Function Embedding with Quantum Annealing
2022-01-01 Chiavassa, P.; Marchesin, A.; Pedone, I.; Ferrari Dacrema, M.; Cremonesi, P.
Evaluating Recommendations in a User Interface With Multiple Carousels
2022-01-01 Ferrari Dacrema, Maurizio; Felicioni, Nicolò; Cremonesi, Paolo
Offline Evaluation of Recommender Systems in a User Interface With Multiple Carousels
2022-01-01 Ferrari Dacrema, Maurizio; Felicioni, Nicolò; Cremonesi, Paolo
Towards Recommender Systems with Community Detection and Quantum Computing
2022-01-01 Nembrini, Riccardo; Carugno, Costantino; Ferrari Dacrema, Maurizio; Cremonesi, Paolo
Towards the Evaluation of Recommender Systems with Impressions
2022-01-01 Perez Maurera, Fernando B.; Ferrari Dacrema, Maurizio; Cremonesi, Paolo
Design and Evaluation of Cross-Domain Recommender Systems
2022-01-01 Ferrari Dacrema, Maurizio; Cantador, Iván; Fernández-Tobías, Ignacio; Berkovsky, Shlomo; Cremonesi, Paolo
Feature Selection via Quantum Annealers for Ranking and Classification Tasks
2022-01-01 Ferrari Dacrema, Maurizio; Moroni, Fabio; Nembrini, Riccardo; Ferro, Nicola; Faggioli, Guglielmo; Cremonesi, Paolo
An Evaluation Study of Generative Adversarial Networks for Collaborative Filtering
2022-01-01 Pérez Maurera, Fernando Benjamín; Ferrari Dacrema, Maurizio; Cremonesi, Paolo
Off-Policy Evaluation with Deficient Support Using Side Information
2022-01-01 Felicioni, Nicolò; Ferrari Dacrema, Maurizio; Restelli, Marcello; Cremonesi, Paolo
Does the structure of the QUBO problem affect the effectiveness of quantum annealing? An empirical perspective
2023-01-01 Pellini, R.; Ferrari Dacrema, M.; Cremonesi, P.
Benchmarking Adaptative Variational Quantum Algorithms on QUBO Instances
2023-01-01 Turati, G.; Ferrari Dacrema, M.; Cremonesi, P.
Quantum Computing Research Lines in the Italian Center for Supercomputing
2023-01-01 Barenghi, A.; Cremonesi, P.; Pelosi, G.
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