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ORCIDJulio Herce-Zelaya
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2020 – today
- 2023
[j4]Julio Herce-Zelaya
, Carlos Porcel, Álvaro Tejeda-Lorente, Juan Bernabé-Moreno, Enrique Herrera-Viedma:
Introducing CSP Dataset: A Dataset Optimized for the Study of the Cold Start Problem in Recommender Systems. Inf. 14(1): 19 (2023)- 2020
- [j3]Carlos Porcel, Julio Herce-Zelaya, Juan Bernabé-Moreno, Álvaro Tejeda-Lorente, Enrique Herrera-Viedma:
Trust Based Fuzzy Linguistic Recommender Systems as Reinforcement for Personalized Education in the Field of Oral Surgery and Implantology. Int. J. Comput. Commun. Control 15(3) (2020) - [j2]Julio Herce-Zelaya, Carlos Porcel, Juan Bernabé-Moreno, Álvaro Tejeda-Lorente, Enrique Herrera-Viedma:
New technique to alleviate the cold start problem in recommender systems using information from social media and random decision forests. Inf. Sci. 536: 156-170 (2020) - [j1]Juan Bernabé-Moreno, Álvaro Tejeda-Lorente, Julio Herce-Zelaya, Carlos Porcel, Enrique Herrera-Viedma:
A context-aware embeddings supported method to extract a fuzzy sentiment polarity dictionary. Knowl. Based Syst. 190: 105236 (2020)
2010 – 2019
- 2019
- [c6]Julio Herce-Zelaya, Carlos Porcel, Juan Bernabé-Moreno, Álvaro Tejeda-Lorente, Enrique Herrera-Viedma:
Web platform for learning distributed databases' queries processing. ITQM 2019: 827-834 - [c5]Juan Bernabé-Moreno, Álvaro Tejeda-Lorente, Julio Herce-Zelaya, Carlos Porcel, Enrique Herrera-Viedma:
An automatic skills standardization method based on subject expert knowledge extraction and semantic matching. ITQM 2019: 857-864 - [c4]Álvaro Tejeda-Lorente, Juan Bernabé-Moreno, Julio Herce-Zelaya, Carlos Porcel, Enrique Herrera-Viedma:
A risk-aware fuzzy linguistic knowledge-based recommender system for hedge funds. ITQM 2019: 916-923 - 2018
- [c3]Julio Herce-Zelaya, Carlos Porcel, Álvaro Tejeda-Lorente, Juan Bernabé-Moreno, Enrique Herrera-Viedma:
Using Information Extracted from Microblogs in Order to Palliate the Cold Start Problem in Recommender Systems. SoMeT 2018: 347-360 - [c2]Álvaro Tejeda-Lorente, Juan Bernabé-Moreno, Julio Herce-Zelaya, Carlos Porcel, Enrique Herrera-Viedma:
Adapting Recommender Systems to the New Data Privacy Regulations. SoMeT 2018: 373-385 - [c1]Juan Bernabé-Moreno, Álvaro Tejeda-Lorente, Julio Herce-Zelaya, Carlos Porcel, Enrique Herrera-Viedma:
An Embeddings Based Fuzzy Linguistics Supported Model to Measure the Contextual Bias in Sentiment Polarity. SoMeT 2018: 735-748
Coauthor Index
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