Publicaciones en las que colabora con Enrique Herrera Viedma (51)

2024

  1. A utility-based three-way group decision consensus model with overlapping subgroups

    Information Sciences, Vol. 678

2023

  1. Introducing CSP Dataset: A Dataset Optimized for the Study of the Cold Start Problem in Recommender Systems

    Information (Switzerland), Vol. 14, Núm. 1

2021

  1. A linguistic multi-criteria decision making methodology for the evaluation of tourist services considering customer opinion value

    Applied Soft Computing, Vol. 101

  2. 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

  3. Profiling clients in the tourism sector using fuzzy linguistic models based on 2-tuples

    Procedia Computer Science

  4. Reciprocal Recommender Systems: Analysis of state-of-art literature, challenges and opportunities towards social recommendation

    Information Fusion

2020

  1. A context-aware embeddings supported method to extract a fuzzy sentiment polarity dictionary

    Knowledge-Based Systems, Vol. 190

  2. 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

  3. 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

  1. A risk-aware fuzzy linguistic knowledge-based recommender system for hedge funds

    Procedia Computer Science

  2. An automatic skills standardization method based on subject expert knowledge extraction and semantic matching

    Procedia Computer Science

  3. Web platform for learning distributed databases' queries processing

    Procedia Computer Science

2018

  1. A fuzzy linguistics supported model to measure the contextual bias in sentiment polarity

    Advances in Intelligent Systems and Computing

  2. Adapting recommender systems to the new data privacy regulations

    Frontiers in Artificial Intelligence and Applications

  3. An embeddings based fuzzy linguistics supported model to measure the contextual bias in sentiment polarity

    Frontiers in Artificial Intelligence and Applications

  4. Analysis of different proposals to improve the dissemination of information in university digital libraries

    Advances in Intelligent Systems and Computing

  5. 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

  6. Contractor Selection for Construction Projects Using Consensus Tools and Big Data

    International Journal of Fuzzy Systems, Vol. 20, Núm. 4, pp. 1267-1281

  7. 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

  8. Quantifying the emotional impact of events on locations with social media

    Knowledge-Based Systems, Vol. 146, pp. 44-57