Sfoglia per Autore
Overview of QuantumCLEF 2024: The Quantum Computing Challenge for Information Retrieval and Recommender Systems at CLEF
2024-01-01 Pasin, A.; Ferrari Dacrema, M.; Cremonesi, P.; Ferro, N.
QuantumCLEF - Quantum Computing at CLEF
2024-01-01 Pasin, A.; Ferrari Dacrema, M.; Cremonesi, P.; Ferro, N.
QuantumCLEF 2024: Overview of the Quantum Computing Challenge for Information Retrieval and Recommender Systems at CLEF
2024-01-01 Pasin, A.; Ferrari Dacrema, M.; Cremonesi, P.; Ferro, N.
Leveraging Semantic Embeddings of User Reviews with Off-the-Shelf LLMs for Recommender Systems
2024-01-01 Cecere, N.; Pisani, A.; Ferrari Dacrema, M.; Cremonesi, P.
Pre-Trained LLM Embeddings of Product Reviews for Recommendation
2024-01-01 Pisani, A.; Cecere, N.; Ferrari Dacrema, M.; Cremonesi, P.
Adaptive Learning for Quantum Linear Regression
2024-01-01 Carugno, C.; Ferrari Dacrema, M.; Cremonesi, P.
An Application of Reinforcement Learning for Minor Embedding in Quantum Annealing
2024-01-01 Nembrini, R.; Ferrari Dacrema, M.; Cremonesi, P.
Reinforcement Learning for Variational Quantum Circuit Design
2024-01-01 Fodera, S.; Turati, G.; Nembrini, R.; Ferrari Dacrema, M.; Cremonesi, P.
Exploring the Role of Hamiltonian Expressibility in Ansatz Selection for Variational Quantum Algorithms
2024-01-01 Brozzi, F.; Turati, G.; Dacrema, M. F.; Cremonesi, P.
Quantum Computing for Information Retrieval and Recommender Systems
2024-01-01 Ferrari Dacrema, M.; Pasin, A.; Cremonesi, P.; Ferro, N.
Quantum Computing Research Lines in the Italian Center for Supercomputing
2023-01-01 Barenghi, A.; Cremonesi, P.; Pelosi, G.
Towards Improved QUBO Formulations of IR Tasks for Quantum Annealers
2023-01-01 Pellini, R.; Ferrari Dacrema, M.; Cremonesi, P.
Impressions in Recommender Systems: Present and Future
2023-01-01 Perez Maurera, F.; Ferrari Dacrema, M.; Castells, P.; Cremonesi, P.
Workshop on Learning and Evaluating Recommendations with Impressions (LERI)
2023-01-01 Ferrari Dacrema, M.; Castells, P.; Basilico, J.; Cremonesi, P.
Benchmarking Adaptative Variational Quantum Algorithms on QUBO Instances
2023-01-01 Turati, G.; Ferrari Dacrema, M.; Cremonesi, P.
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 (Extended Abstract)
2023-01-01 Turati, G.; Ferrari Dacrema, M.; Cremonesi, P.
Characterizing Impression-Aware Recommender Systems
2023-01-01 Perez Maurera, F. B.; Ferrari Dacrema, M.; Castells, P.; Cremonesi, P.
Incorporating Impressions to Graph-Based Recommenders
2023-01-01 Perez Maurera, F. B.; Ferrari Dacrema, M.; Castells, P.; Cremonesi, P.
qCLEF: A Proposal to Evaluate Quantum Annealing for Information Retrieval and Recommender Systems
2023-01-01 Pasin, A.; Ferrari Dacrema, M.; Cremonesi, P.; Ferro, N.
On the Impact of Data Sampling on Hyper-Parameter Optimisation of Recommendation Algorithms
2022-01-01 Montanari, Matteo; Bernardis, Cesare; 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
Offline Evaluation of Recommender Systems in a User Interface With Multiple Carousels
2022-01-01 Ferrari Dacrema, Maurizio; Felicioni, Nicolò; 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
Design and Evaluation of Cross-Domain Recommender Systems
2022-01-01 Ferrari Dacrema, Maurizio; Cantador, Iván; Fernández-Tobías, Ignacio; Berkovsky, Shlomo; 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
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
Towards the Evaluation of Recommender Systems with Impressions
2022-01-01 Perez Maurera, Fernando B.; Ferrari Dacrema, Maurizio; Cremonesi, Paolo
Towards Recommender Systems with Community Detection and Quantum Computing
2022-01-01 Nembrini, Riccardo; Carugno, Costantino; Ferrari Dacrema, Maurizio; Cremonesi, Paolo
Virtual Network Function Embedding with Quantum Annealing
2022-01-01 Chiavassa, P.; Marchesin, A.; Pedone, I.; Ferrari Dacrema, M.; Cremonesi, P.
Feature Selection for Classification with QAOA
2022-01-01 Turati, G.; Ferrari Dacrema, M.; Cremonesi, P.
Evaluating Recommendations in a User Interface With Multiple Carousels
2022-01-01 Ferrari Dacrema, Maurizio; Felicioni, Nicolò; 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
Replication of collaborative Filtering Generative Adversarial Networks on Recommender Systems
2022-01-01 Perez Maurera, Fernando Benjamin; Ferrari Dacrema, Maurizio; Cremonesi, Paolo
GAN-based Matrix Factorization for Recommender Systems
2022-01-01 Dervishaj, Ervin; Cremonesi, Paolo
Session-Based Recommender Systems
2022-01-01 Jannach, Dietmar; Quadrana, Massimo; Cremonesi, Paolo
Replication of Recommender Systems with Impressions
2022-01-01 Perez Maurera, Fernando Benjamin; Ferrari Dacrema, Maurizio; Cremonesi, Paolo
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.
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
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
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
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
Feature selection for Recommender Systems with Quantum Computing
2021-01-01 Nembrini, Riccardo; Ferrari Dacrema, Maurizio; Cremonesi, Paolo
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
NFC: a Deep and Hybrid Item-based Model for Item Cold-start Recommendation
2021-01-01 Bernardis, Cesare; Cremonesi, Paolo
A Troubling Analysis of Reproducibility and Progress in Recommender Systems Research
2021-01-01 Ferrari Dacrema, Maurizio; Boglio, Simone; Cremonesi, Paolo; Jannach, Dietmar
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
Optimizing the Selection of Recommendation Carousels with Quantum Computing
2021-01-01 Ferrari Dacrema, Maurizio; Felicioni, Nicolò; Cremonesi, Paolo
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