ProfessorsProfessors of Universidad de OviedoJorge Díez

Jorge Díez

Universidad de Oviedo

H-index: 25

Europe-Spain

About Jorge Díez

Jorge Díez, With an exceptional h-index of 25 and a recent h-index of 16 (since 2020), a distinguished researcher at Universidad de Oviedo, specializes in the field of Artificial Intelligence, Machine Learning, Recommender Systems.

His recent articles reflect a diverse array of research interests and contributions to the field:

Users' photos of items can reveal their tastes in a recommender system

All-in-one picture: visual summary of items in a recommender system

Differences in the microRNAs levels of raw milk from dairy cattle raised under extensive or intensive production systems

User encoding for clustering in very sparse recommender systems tasks

Lack of interest? Self and peer assessment as a means to improve students’ engagement

Improving recommender systems by encoding items and user profiles considering the order in their consumption history

Towards explainable personalized recommendations by learning from users’ photos

Jorge Díez Information

University	Universidad de Oviedo
Position	ORCID:0000-0002-1314-2441 Artificial Intelligence Center
Citations(all)	2103
Citations(since 2020)	987
Cited By	1509
hIndex(all)	25
hIndex(since 2020)	16
i10Index(all)	40
i10Index(since 2020)	24
Email	Access Email
University Profile Page	Universidad de Oviedo
Google Scholar	View Google Scholar Profile

Jorge Díez Skills & Research Interests

Artificial Intelligence

Machine Learning

Recommender Systems

Top articles of Jorge Díez

Title	Journal	Author(s)	Publication Date
Users' photos of items can reveal their tastes in a recommender system	Information Sciences	Pablo Pérez-Núñez Jorge Díez Oscar Luaces Beatriz Remeseiro Antonio Bahamonde	2023/9/1
All-in-one picture: visual summary of items in a recommender system	Neural Computing and Applications	Pablo Pérez-Núñez Jorge Díez Beatriz Remeseiro Oscar Luaces Antonio Bahamonde	2023/9
Differences in the microRNAs levels of raw milk from dairy cattle raised under extensive or intensive production systems	Veterinary Sciences	Loubna Abou El Qassim Jaime Alonso Ke Zhao Sandrine Le Guillou Jorge Diez ...	2022/11/27
User encoding for clustering in very sparse recommender systems tasks	Multimedia Tools and Applications	Pablo Pérez-Núnez Jorge Díez Oscar Luaces Antonio Bahamonde	2022/1
Lack of interest? Self and peer assessment as a means to improve students’ engagement	Innovations in education and teaching international	Jorge Díez Peláez	2021
Improving recommender systems by encoding items and user profiles considering the order in their consumption history	Progress in Artificial Intelligence	Pablo Pérez-Núñez Oscar Luaces Antonio Bahamonde Jorge Díez	2020/3
Towards explainable personalized recommendations by learning from users’ photos	Information Sciences	Jorge Díez Pablo Pérez-Núñez Oscar Luaces Beatriz Remeseiro Antonio Bahamonde	2020/5/1