2020
Raciel Yera, Jorge Castro, Luis Martínez
"Natural Noise Management in Recommender Systems Using Fuzzy Tools"
"10.1007/978-3-030-23760-8_1"
“"Natural Noise Management in Recommender Systems Using Fuzzy Tools"”, in Computational Intelligence for Semantic Knowledge Management New Perspectives for Designing and Organizing Information Systems, vol. 837, "Cham": "Springer International Publishing", 2020, pp. 1-24.
Manuel José Barranco, Pedro José Sánchez, Jorge Castro, Raciel Yera
A Big Data Semantic Driven Context Aware Recommendation Method
http://doi.org/10.1007/978-3-030-51156-2_103
A Big Data Semantic Driven Context Aware Recommendation Method - 2021_Book_IntelligentAndFuzzyTechniquesS_INFUS_2020.pdf304.68 KB
“A Big Data Semantic Driven Context Aware Recommendation Method”, in INFUS 2020 - International Conference on Intelligent and Fuzzy Systems 2020 - Estambul - Turquia, 2020, Advances in Intelligent Systems and Computing., vol. 1197, p. 894--902.
2019
Jorge Castro, Luis Martínez
Novel models in recommender systems and group recommender systems for improving recommendations
thesis-jcastro.pdf10.33 MB
2019.
Jorge Castro, Raciel Yera, A. A. Alzahrani, Pedro José Sánchez, Manuel José Barranco, Luis Martínez
A Big Data Semantic Driven Context Aware Recommendation Method for Question-Answer Items
10.1109/ACCESS.2019.2957881
08924671-published.pdf2.57 MB
IEEE Access, vol. 7, no. 1, pp. 182664-182678, 2019.
2018
Jorge Castro, Raciel Yera, Luis Martínez
A fuzzy approach for natural noise management in group recommender systems
https://doi.org/10.1016/j.eswa.2017.10.060
Expert Systems with Applications, vol. 94, pp. 237-249, 2018.
Jorge Castro, Jie Lu, Guangquan Zhang, Yucheng Dong, Luis Martínez
Opinion Dynamics-Based Group Recommender Systems
10.1109/TSMC.2017.2695158
IEEE Transactions on Systems, Man, and Cybernetics: Systems, vol. 48, no. 12, pp. 2394-2406, 2018.
Jorge Castro, Manuel José Barranco, Rosa María Rodríguez, Luis Martínez
Group Recommendations Based on Hesitant Fuzzy Sets
10.1002/int.21922
Castro_et_al-2018-International_Journal_of_Intelligent_Systems.pdf891.4 KB
International Journal of Intelligent Systems, vol. 33, pp. 2058-2077, 2018.
Raciel Yera, Álvaro Labella, Jorge Castro, Luis Martínez
On group recommendation supported by a minimum cost consensus model
https://doi.org/10.1142/9789813273238_0031
2018-Yera-FLINS.pdf256.24 KB
“On group recommendation supported by a minimum cost consensus model”, in 13th International FLINS conference, 2018, vol. 11, pp. 227-234.
2017
Jorge Castro, Manuel José Barranco, Rosa María Rodríguez, Luis Martínez
Dealing with Diverstiy and Novelty in Group Recommendations Using Hesitant Fuzzy Sets
10.1109/FUZZ-IEEE.2017.8015484
2017-Castro et al-IEEEfuz.pdf3.88 MB
“Dealing with Diverstiy and Novelty in Group Recommendations Using Hesitant Fuzzy Sets”, in IEEE International Conference on Fuzzy Systems, 2017.
Jorge Castro, Raciel Yera, Luis Martínez
An empirical study of natural noise management in group recommendation systems
http://dx.doi.org/10.1016/j.dss.2016.09.020
Decision Support Systems, vol. 94, pp. 1-11, 2017.
Raciel Yera, Rosa María Rodríguez, Jorge Castro, Luis Martínez
A Recommender System for Supporting Students in Programming Online Judges
10.1007/978-3-319-59451-4
“A Recommender System for Supporting Students in Programming Online Judges”, in 4th International Conference on Smart Education and E-Learning, 2017, vol. 75, pp. 215-224.
2016
Raciel Yera, Jorge Castro, Luis Martínez
A fuzzy model for managing natural noise in recommender systems
http://dx.doi.org/10.1016/j.asoc.2015.10.060
Applied Soft Computing, vol. 40, pp. 187-198, 2016.
Raciel Yera, Jorge Castro, Luis Martínez
An approach for natural noise management in recommender systems using fuzzy logic
10.1142/9789813146976_0019
“An approach for natural noise management in recommender systems using fuzzy logic”, in 12th International FLINS Conference, 2016, pp. 99-104.
Luis Martínez, Jorge Castro, Raciel Yera
Managing Natural Noise in Recommender Systems
10.1007/978-3-319-49001-4
“Managing Natural Noise in Recommender Systems”, in 5th International Conference on Theory and Practice of Natural Computing (TPNC 2016), 2016, pp. 3-17.
2015
Jorge Castro, óscar García, Luis Martínez
CLG-REJA: A Consensus Location-aware group recommender system for Restaurants
reja-recsys-TouRS15-paper.pdf5 MB
“CLG-REJA: A Consensus Location-aware group recommender system for Restaurants”, in ACM Conference Series on RecSys15, TouRS15 workshop, Vienna (Austria), September 20th, 2015, pp. 61-69.
Jorge Castro, Francisco José Quesada, Luis Martínez
Uso de procesos de alcance de consenso para mejorar la recomendación a grupos
grs-consensus-caepia-camera-ready.pdf1.5 MB
XVI Conferencia de la Asociación Española para la Inteligencia Artificial (CAEPIA15), Albacete (Spain), November 9-12th. 2015.
Jorge Castro, Francisco José Quesada, Iván Palomares, Luis Martínez
A Consensus-Driven Group Recommender System
10.1002/int.21730
International Journal of Intelligent Systems, vol. 30, pp. 887-906, 2015.
2014
Jorge Castro
Heritage Points of Interest Recommendation for Groups
Castro2014_Patrimonun10.pdf102.79 KB
“Heritage Points of Interest Recommendation for Groups”, 2014.
Jorge Castro, Manuel José Barranco, Luis Martínez
Improving group recommendation with outlier data filtering
Castro2014_FLINS.pdf298.51 KB
“Improving group recommendation with outlier data filtering”, 2014, vol. 9, pp. 568-573.
Francisco Moya, Jorge Castro, Francisco José Quesada, Iván Palomares, Luis Martínez
Improving group recommendations with consensus reaching processes
Abstract Eureka International Virtual Physical Meeting Eureka 2014.pdf26.7 KB
“Improving group recommendations with consensus reaching processes”, in Eureka International Virtual Physical Meeting Eureka 2014, 2014.
Jorge Castro, Rosa María Rodríguez, Manuel José Barranco
Weighting of Features in Content-Based Filtering with Entropy and Dependence Measures
International Journal of Computational Intelligence Systems, vol. 7, pp. 80-89, 2014.
Jorge Castro, S. Jiménez, Manuel José Barranco, Luis Martínez
S-PISNA: Una herramienta de análisis para grafos difusos basada en computación con palabras para la mejora de recomendación a grupos
Castro2014_ESTYLF.pdf1.57 MB
Zaragoza (Spain): Universidad de Zaragoza, ESTYLF, pp. 175-180, 2014.
2012
Manuel José Barranco, J.M Noguera, Jorge Castro, Luis Martínez
A Context-Aware Mobile Recommender System Based on Location and Trajectory
“A Context-Aware Mobile Recommender System Based on Location and Trajectory”, vol. 171, Springer, 2012, pp. 153-162.
Manuel José Barranco, Jorge Castro, Luis Martínez
Evaluación de un Método de Ponderación de Atributos Multivaluados en Sistemas de Recomendación basados en Contenido
Barranco2012_ESTYLF.pdf174.39 KB
Valladolid (Spain): EUSFLAT, Universidad de Valladolid, pp. 259-264, 2012.