SCI2S Publications (J. Herce)

Number of Results: 10

Jump to Year: 2023, 2020, 2019, 2018

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2023 (1)

• [3019] J. Herce-Zelaya, C. Porcel, A. Tejeda-Lorente, J. Bernabé-Moreno, E. Herrera-Viedma. Introducing CSP Dataset: A Dataset Optimized for the Study of the Cold Start Problem in Recommender Systems. Information 14, no. 1: 19. doi: 10.3390/info14010019
  

2020 (3)

• [2740] J. Bernabé-Moreno, A. Tejeda-Lorente, J. Herce-Zelaya, C. Porcel, E. Herrera-Viedma. A context-aware embeddings supported method to extract a fuzzy sentiment polarity dictionary. KNOSYS, Vol. 190, 29 February 2020, 105236.. doi: 10.1016/j.knosys.2019.105236
  
• [2805] J. Herce-Zelaya, C. Porcel, J. Bernabé-Moreno, A. Tejeda-Lorente, E. Herrera-Viedma. New technique to alleviate the cold start problem in recommender systems using information from social media and random decision forests. Information Sciences, volumen 536, 156-170, 2020. doi: 10.1016/j.ins.2020.05.071
  
• [2829] C. Porcel, J. Herce-Zelaya, J. Bernabé-Moreno, A. Tejeda-Lorente, E. Herrera-Viedma. Trust Based Fuzzy Linguistic Recommender Systems as Reinforcement for Personalized Education in the Field of Oral Surgery and Implantology. International Journal Of Computers Communications & Control. [S.l.], v. 15, n. 3, apr. 2020. ISSN 1841-9844.. doi: 10.15837/ijccc.2020.3.3858
  

2019 (3)

• [2737] A. Tejeda-Lorente, J. Bernabé-Moreno, J. Herce-Zelaya, C. Porcel, E. Herrera-Viedma. A risk-aware fuzzy linguistic knowledge-based recommender system for hedge funds. 7th International Conference on Information Technology and Quantitative Management (ITQM 2019), Procedia Computer Science 162, Granada (Spain), 916-923, November 3-6, 2019. doi: 10.1016/j.procs.2019.12.068
  
• [2738] J. Bernabé-Moreno, A. Tejeda-Lorente, J. Herce-Zelaya, C. Porcel, E. Herrera-Viedma. An automatic skills standardization method based on subject expert knowledge extraction and semantic matching. 7th International Conference on Information Technology and Quantitative Management (ITQM 2019), Procedia Computer Science 162, Granada (Spain), 857-864, November 3-6, 2019. doi: 10.1016/j.procs.2019.12.060
  
• [2739] J. Herce-Zelaya, C. Porcel, J. Bernabé-Moreno, A. Tejeda-Lorente, E. Herrera-Viedma. Web platform for learning distributed databases’ queries processing. 7th International Conference on Information Technology and Quantitative Management (ITQM 2019), Procedia Computer Science 162, Granada (Spain), 827-834, November 3-6, 2019. doi: 10.1016/j.procs.2019.12.056
  

2018 (3)

• [2500] A. Tejeda-Lorente, J. Bernabé-Moreno, J. Herce-Zelaya, C. Porcel, E. Herrera-Viedma. Adapting Recommender Systems to the New Data Privacy Regulations. 17th International Conference on Intelligent Software Methodologies, Tools and Techniques (SoMeT 2018), Granada (Spain), 373-385, September 26-28, 2018. doi: 10.3233/978-1-61499-900-3-373
  
• [2501] J. Herce-Zelaya, C. Porcel, A. Tejeda-Lorente, J. Bernabé-Moreno, E. Herrera-Viedma. Using Information Extracted from Microblogs in Order to Palliate the Cold Start Problem in Recommender Systems. 17th International Conference on Intelligent Software Methodologies, Tools and Techniques (SoMeT 2018), Granada (Spain), 347-360, September 26-28, 2018. doi: 10.3233/978-1-61499-900-3-347
  
• [2502] J. Bernabé-Moreno, A. Tejeda-Lorente, J. Herce-Zelaya, C. Porcel, E. Herrera-Viedma. An Embeddings Based Fuzzy Linguistics Supported Model to Measure the Contextual Bias in Sentiment Polarity. 17th International Conference on Intelligent Software Methodologies, Tools and Techniques (SoMeT 2018), Granada (Spain), 735-748, September 26-28, 2018. doi: 10.3233/978-1-61499-900-3-735