Sfoglia per Correlatore FERRARI DACREMA, MAURIZIO
Mostrati risultati da 1 a 16 di 16
A feature-based machine learning approach for the cold start item problem
2016/2017 BIANCHI, MATTIA
A novel graph-based model for hybrid recommendations in cold-start scenarios
2016/2017 BERNARDIS, CESARE
A user study on novelty and diversity in recommender systems
2017/2018 PELLIZZARI, FILIPPO
An analysis of reproducibility and experimental results comparison in cross-domain recommender systems using deep learning
2019/2020 CECCHI, FLAVIA
Assessing the effectiveness of rating pattern transfer models for recommender systems
2020/2021 Bozzano, Giovanni
Automated feature engineering for recommender systems
2017/2018 INAJJAR, ILYAS
Bayesian optimization for ensemble hyperparameters in job recommendation
2016/2017 CESARO, FEDERICO
An evaluation study of reproducibility and competitiveness of deep learning algorithms in recommender systems
2018/2019 BOGLIO, SIMONE
Exploratory experimental survey about the role and the impact of impressions in recommender systems
2020/2021 L'Imperio, Pietro
Improving an e-commerce's recommendations accuracy by exploiting impression data
2021/2022 Rota, Francesco
Non-negative binary matrix factorization for digit recognition with a D-wave quantum annealer
2021/2022 CORNAGGIA, LUCA
On the effectiveness of convolutional neural networks in modelling latent dimensions interactions for recommender systems
2019/2020 PARRONI, FEDERICO
Practical quantum computing : a collaborative-driven quantum feature selection approach for the cold-start problem in recommender systems
2019/2020 Nembrini, Riccardo
A quantum approach to a learning-based collaborative filtering method in recommender systems
2019/2020 Zhou, Tang-Tang
Rating aware feature selection in content-based recommender systems
2017/2018 CANO, ADRIANA
A survey on feature selection methods for classification solved with quantum annealing
2021/2022 MORONI, FABIO
Mostrati risultati da 1 a 16 di 16
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