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Diego Sánchez-Moreno, Vivian F. López Batista, María Dolores Muñoz Vicente, Ángel Luis Sánchez Lázaro and María N. Moreno-García
Information from social networks is currently being widely used in many application domains, although in the music recommendation area, its use is less common because of the limited availability of social data. However, most streaming platforms allow for...
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Nikzad Chizari, Keywan Tajfar and María N. Moreno-García
In today?s technology-driven society, many decisions are made based on the results provided by machine learning algorithms. It is widely known that the models generated by such algorithms may present biases that lead to unfair decisions for some segments...
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Adrián Valera, Álvaro Lozano Murciego and María N. Moreno-García
Nowadays, recommender systems are present in multiple application domains, such as e-commerce, digital libraries, music streaming services, etc. In the music domain, these systems are especially useful, since users often like to listen to new songs and d...
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Diego Sánchez-Moreno, Yong Zheng and María N. Moreno-García
Online streaming services have become the most popular way of listening to music. The majority of these services are endowed with recommendation mechanisms that help users to discover songs and artists that may interest them from the vast amount of music...
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Diego Sánchez-Moreno, Vivian López Batista, M. Dolores Muñoz Vicente, Ángel Luis Sánchez Lázaro and María N. Moreno-García
Recent research in the field of recommender systems focuses on the incorporation of social information into collaborative filtering methods to improve the reliability of recommendations. Social networks enclose valuable data regarding user behavior and c...
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María N. Moreno García, Isabel Ramos Román, Francisco J. García Peñalvo, Miguel Toro Bonilla
Pág. 522 - 529
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