Papers published in Journals (A. Tejeda)

Number of Results: 13

Jump to Year: 2023, 2020, 2018, 2017, 2015, 2014, 2012

Jump to Graph

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
  

2018 (2)

• [2148] J. Bernabé-Moreno, A. Tejeda-Lorente, C. Porcel, E. Herrera-Viedma. Leveraging localized social media insights for early warning systems. International Journal of Information Technology and Decision Making (IJITDM) 17:1 (2018) 357-385. doi: 10.1142/S0219622017400016
  
• [2425] J. Bernabé-Moreno, A. Tejeda-Lorente, C. Porcel, H. Fujita, E. Herrera-Viedma. Quantifying the emotional impact of events on locations with Social Media. Knowledge-based Systems, 146, (2018), 44-57. doi: 10.1016/j.knosys.2018.01.029
  

2017 (1)

• [2334] C. Porcel, A. Ching-Lopez, J. Bernabé-Moreno, A. Tejeda-Lorente, E. Herrera-Viedma. Fuzzy linguistic recommender systems for the selective diffusion of information in digital libraries. Journal of Information Processing Systems, 13:4, (2017), 653-667. doi: 10.3745/JIPS.04.0035
  

2015 (3)

• [1854] J. Bernabé-Moreno, A. Tejeda-Lorente, C. Porcel, E. Herrera-Viedma. A new model to quantify the impact of a topic in a location over time with Social Media. Expert Systems with Applications 7:1 (2015) 3381-3395. doi: 10.1016/j.eswa.2014.11.067
  
• [1857] J. Bernabé-Moreno, A. Tejeda-Lorente, C. Porcel, H.Fujita, E. Herrera-Viedma. CARESOME: A System to Enrich Marketing Customers Acquisition and Retention Campaigns Using Social Media. Knowledge-Based Systems 80 (2015) 163-179. doi: 10.1016/j.knosys.2014.12.033
  
• [1892] A. Tejeda-Lorente, J. Bernabé-Moreno, C. Porcel, E. Herrera-Viedma. REFORE: A recommender system for researchers based on bibliometrics. Applied Soft Computing 30 (2015) 778-791. doi: doi:10.1016/j.asoc.2015.02.024
  

2014 (2)

• [1702] A. Tejeda-Lorente, C. Porcel, E. Peis, R. Sanz, E. Herrera-Viedma. A quality based recommender system to disseminate information in a University Digital Library. Information Sciences 261 (2014) 52-69. doi: 10.1016/j.ins.2013.10.036
  
• [1761] B. Esteban, A. Tejeda-Lorente, C. Porcel, M. Arroyo, E. Herrera-Viedma. TPLUFIB-WEB: A fuzzy linguistic Web system for treatment and prevention of low back pain. Knowledge-based Systems, 67 (2014) 429-438. doi: 10.1016/j.knosys.2014.03.004
  

2012 (1)

• [1466] C. Porcel, A. Tejeda-Lorente, M.A. Martínez, E. Herrera-Viedma. A hybrid recommender system for the selective dissemination of research resources in a technology transfer office. Information Sciences 184:1 (2012) 1-19. doi: 10.1016/j.ins.2011.08.026