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08/03/2023
Incorporating Recklessness to Collaborative Filtering based Recommender Systems
Recommender systems that include some reliability measure of their predi...
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07/18/2023
Deep Neural Aggregation for Recommending Items to Group of Users
Modern society devotes a significant amount of time to digital interacti...
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03/17/2023
An evaluation framework for dimensionality reduction through sectional curvature
Unsupervised machine learning lacks ground truth by definition. This pos...
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03/15/2023
Using 3D printed badges to improve student performance and reduce dropout rates in STEM higher education
Students' perception of excessive difficulty in STEM degrees lowers thei...
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03/13/2023
Neural Group Recommendation Based on a Probabilistic Semantic Aggregation
Recommendation to groups of users is a challenging subfield of recommend...
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10/05/2022
ResBeMF: Improving Prediction Coverage of Classification based Collaborative Filtering
Reliability measures associated to machine learning model predictions ar...
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07/27/2021
Deep Variational Models for Collaborative Filtering-based Recommender Systems
Deep learning provides accurate collaborative filtering models to improv...
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06/17/2020
Deep Learning feature selection to unhide demographic recommender systems factors
Extracting demographic features from hidden factors is an innovative con...
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06/09/2020
DeepFair: Deep Learning for Improving Fairness in Recommender Systems
The lack of bias management in Recommender Systems leads to minority gro...
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06/05/2020
