9998

Caro-Martínez, M., Jiménez-Díaz, G., & Recio-García, J. A. (9998). Local Model-Agnostic Explanations for Black-box Recommender Systems Using Interaction Graphs and Link Prediction Techniques. International Journal Of Interactive Multimedia And Artificial Intelligence, In Press(In Press), 1-11. http://doi.org/10.9781/ijimai.2021.12.001

Deepak, G., Vibakar, A., & Santhanavijayan, A. (9998). OntoInfoG++: A Knowledge Fusion Semantic Approach for Infographics Recommendation. International Journal Of Interactive Multimedia And Artificial Intelligence, In Press(In Press), 1-11. http://doi.org/10.9781/ijimai.2021.12.005

2022

Bobadilla, J., Gutiérrez, A., Alonso, S., & González-Prieto, Á. (2022). Neural Collaborative Filtering Classification Model to Obtain Prediction Reliabilities. International Journal Of Interactive Multimedia And Artificial Intelligence, 7(Regular Issue), 18-26. http://doi.org/10.9781/ijimai.2021.08.010

Medel, D., González-González, C., & V. Aciar, S. (2022). Social Relations and Methods in Recommender Systems: A Systematic Review. International Journal Of Interactive Multimedia And Artificial Intelligence, 7(Regular Issue), 7-17. http://doi.org/10.9781/ijimai.2021.12.004

2021

Bobadilla, J., Lara-Cabrera, R., González-Prieto, Á., & Ortega, F. (2021). DeepFair: Deep Learning for Improving Fairness in Recommender Systems. International Journal Of Interactive Multimedia And Artificial Intelligence, 6(Regular Issue), 86-94. http://doi.org/10.9781/ijimai.2020.11.001

Houari, N. S., & Taghezout, N. (2021). An Effective Tool for the Experts' Recommendation Based on PROMETHEE II and Negotiation: Application to the Industrial Maintenance. International Journal Of Interactive Multimedia And Artificial Intelligence, 6(Regular Issue), 67-77. http://doi.org/10.9781/ijimai.2021.01.002

2020

Bobadilla, J., Ortega, F., Gutiérrez, A., & Alonso, S. (2020). Classification-based Deep Neural Network Architecture for Collaborative Filtering Recommender Systems. International Journal Of Interactive Multimedia And Artificial Intelligence, 6(Special Issue on Soft Computing), 68-77. http://doi.org/10.9781/ijimai.2020.02.006

Bobadilla, J., Gutiérrez, A., Alonso, S., & Hurtado, R. (2020). A Collaborative Filtering Probabilistic Approach for Recommendation to Large Homogeneous and Automatically Detected Groups. International Journal Of Interactive Multimedia And Artificial Intelligence, 6(Regular Issue), 11. http://doi.org/10.9781/ijimai.2020.03.002

2018

Taghezout, N., Benkaddour, F. Z., Kaddour-Ahmed, F. Z., & Hammadi, I. -A. (2018). An Adapted Approach for User Profiling in a Recommendation System: Application to Industrial Diagnosis. International Journal Of Interactive Multimedia And Artificial Intelligence, 5(Regular Issue), 118-130. http://doi.org/10.9781/ijimai.2018.06.003

2015

Cordobés, H., Fernández Anta, A., Chiroque, L., Pérez, F., Santos, A., Leiva, R. G., et al. (2015). Empirical Comparison of Graph-based Recommendation Engines for an Apps Ecosystem. International Journal Of Interactive Multimedia And Artificial Intelligence, 3(Special Issue on Digital Economy), 33-39. http://doi.org/10.9781/ijimai.2015.324