Zobrazeno 1 - 10 of 10 pro vyhledávání: '"Ángel Luis Sánchez Lázaro"'
1
Akademický článek
Social Network Community Detection to Deal with Gray-Sheep and Cold-Start Problems in Music Recommender Systems
Autor: Diego Sánchez-Moreno, Vivian F. López Batista, María Dolores Muñoz Vicente, Ángel Luis Sánchez Lázaro, María N. Moreno-García
Publikováno v: Information, Vol 15, Iss 3, p 138 (2024)
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
Externí odkaz: https://doaj.org/article/70c57971da6d49d5a6b8a3154b1bf375
Zobrazit plný text záznamu
2
Akademický článek
Exploiting the User Social Context to Address Neighborhood Bias in Collaborative Filtering Music Recommender Systems
Autor: Diego Sánchez-Moreno, Vivian López Batista, M. Dolores Muñoz Vicente, Ángel Luis Sánchez Lázaro, María N. Moreno-García
Publikováno v: Information, Vol 11, Iss 9, p 439 (2020)
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 a
Externí odkaz: https://doaj.org/article/e2e42ee694074fd889a850d990f8ab97
Zobrazit plný text záznamu
6
Increasing security in the teaching/learning process with 2FA
Autor: Jose R. Garcia-Bermejo-Giner, Angélica González Arrieta, Ángel Luis Sánchez Lázaro, Belen Perez Lancho, Daniel López-Sánchez, Juan Andrés Hernández Simón, Pastora Isabel Vega Cruz
Publikováno v: 2021 XI International Conference on Virtual Campus (JICV).
In the teaching/learning process there is a need to identify or, where appropriate, validate the identity of users accessing the various IT services used by the institution responsible for the courses offered. In the case of Universities, the followi
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::872cd3e33da8f193be22ca38ad5e9e3e
https://doi.org/10.1109/jicv53222.2021.9600397
Zobrazit plný text záznamu
9
Exploiting the User Social Context to Address Neighborhood Bias in Collaborative Filtering Music Recommender Systems
Autor: María N. Moreno-García, M. Dolores Muñoz Vicente, Diego Sánchez-Moreno, Ángel Luis Sánchez Lázaro, Vivian F. López Batista
Publikováno v: Information
Volume 11
Issue 9
Information, Vol 11, Iss 439, p 439 (2020)
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 a
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6a1c0cfdfe7a4fe21e5e23f2878d39d2
Zobrazit plný text záznamu
10
Kniha
Neural Networks Applied to Fingerprint Recognition.
Autor: Arrieta, Angélica González, Estrada, Griselda Cobos, Romero, Luis Alonso, Lancho, Ángel Luis Sánchez Lázaro y Belén Pérez
Publikováno v: Distributed Computing, Artificial Intelligence, Bioinformatics, Soft Computing & Ambient Assisted Living; 2009, p621-625, 5p
Zobrazit plný text záznamu

Vyhledávací nástroje:

Upřesnit hledání

Omezení vyhledávání
Plný text Recenzováno Digitální knihovna AV ČR
Zdroje