ENRIQUE
HERRERA VIEDMA
CATEDRÁTICO DE UNIVERSIDAD
CARLOS GUSTAVO
PORCEL GALLEGO
PROFESOR TITULAR DE UNIVERSIDAD
Publicaciones en las que colabora con CARLOS GUSTAVO PORCEL GALLEGO (79)
2024
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A utility-based three-way group decision consensus model with overlapping subgroups
Information Sciences, Vol. 678
2023
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Introducing CSP Dataset: A Dataset Optimized for the Study of the Cold Start Problem in Recommender Systems
Information (Switzerland), Vol. 14, Núm. 1
2021
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A linguistic multi-criteria decision making methodology for the evaluation of tourist services considering customer opinion value
Applied Soft Computing, Vol. 101
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Corrigendum to “Reciprocal Recommender Systems: Analysis of state-of-art literature, challenges and opportunities towards social recommendation” Information Fusion Volume 69 (2020) 103-127 (Information Fusion (2021) 69 (103–127), (S1566253520304267), (10.1016/j.inffus.2020.12.001))
Information Fusion
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Profiling clients in the tourism sector using fuzzy linguistic models based on 2-tuples
Procedia Computer Science
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Reciprocal Recommender Systems: Analysis of state-of-art literature, challenges and opportunities towards social recommendation
Information Fusion
2020
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A context-aware embeddings supported method to extract a fuzzy sentiment polarity dictionary
Knowledge-Based Systems, Vol. 190
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New technique to alleviate the cold start problem in recommender systems using information from social media and random decision forests
Information Sciences, Vol. 536, pp. 156-170
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Trust based fuzzy linguistic recommender systems as reinforcement for personalized education in the field of oral surgery and implantology
International Journal of Computers, Communications and Control, Vol. 15, Núm. 3
2019
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A risk-aware fuzzy linguistic knowledge-based recommender system for hedge funds
Procedia Computer Science
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An automatic skills standardization method based on subject expert knowledge extraction and semantic matching
Procedia Computer Science
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Web platform for learning distributed databases' queries processing
Procedia Computer Science
2018
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A fuzzy linguistics supported model to measure the contextual bias in sentiment polarity
Advances in Intelligent Systems and Computing
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Adapting recommender systems to the new data privacy regulations
Frontiers in Artificial Intelligence and Applications
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An embeddings based fuzzy linguistics supported model to measure the contextual bias in sentiment polarity
Frontiers in Artificial Intelligence and Applications
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Analysis of different proposals to improve the dissemination of information in university digital libraries
Advances in Intelligent Systems and Computing
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Análisis de distintas propuestas de sistemas de recomendaciones lingüísticos difusos para personalizar información en bibliotecas digitales
XVIII Conferencia de la Asociación Española para la Inteligencia Artificial (CAEPIA 2018): avances en Inteligencia Artificial. 23-26 de octubre de 2018 Granada, España
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Contractor Selection for Construction Projects Using Consensus Tools and Big Data
International Journal of Fuzzy Systems, Vol. 20, Núm. 4, pp. 1267-1281
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Leveraging Localized Social Media Insights for Industry Early Warning Systems
International Journal of Information Technology and Decision Making, Vol. 17, Núm. 1, pp. 357-385
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Quantifying the emotional impact of events on locations with social media
Knowledge-Based Systems, Vol. 146, pp. 44-57