Raciel Yera

J. Supercomput., November, 2024

Exploring content-based group recommendation for suggesting restaurants in Havana City.

[BibT_eX]

[DOI]

Yilena Pérez-Almaguer

Edianny Carballo-Cruz

Abdullah Hussein Alamoodi

J. Univers. Comput. Sci., January, 2024

Evaluation of trustworthy artificial intelligent healthcare applications using multi-criteria decision-making approach.

[BibT_eX]

[DOI]

M. A. Alsalem

Osamah Shihab Albahri

Expert Syst. Appl., 2024

LORE4GroupRS: Explaining Group Recommendations Supported by a Local Rule-Based Approach.

[BibT_eX]

[DOI]

Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2024, 2024

2023

Creating synthetic datasets for collaborative filtering recommender systems using generative adversarial networks.

[BibT_eX]

[DOI]

Knowl. Based Syst., November, 2023

Exploring the Automatic Selection of Aggregation Methods in Group Recommendation.

[BibT_eX]

[DOI]

Rosa M. Rodríguez

Proceedings of the Fuzzy Logic and Technology, and Aggregation Operators, 2023

2022

Exploring post-hoc agnostic models for explainable cooking recipe recommendations.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2022

A fuzzy content-based group recommender system with dynamic selection of the aggregation functions.

[BibT_eX]

[DOI]

Int. J. Approx. Reason., 2022

2021

Content-based group recommender systems: A general taxonomy and further improvements.

[BibT_eX]

[DOI]

Yilena Pérez-Almaguer

Expert Syst. Appl., 2021

2020

Natural Noise Management in Recommender Systems Using Fuzzy Tools.

[BibT_eX]

[DOI]

Proceedings of the Computational Intelligence for Semantic Knowledge Management, 2020

2019

Exploring Fuzzy Rating Regularities for Managing Natural Noise in Collaborative Recommendation.

[BibT_eX]

[DOI]

Int. J. Comput. Intell. Syst., 2019

A Food Recommender System Considering Nutritional Information and User Preferences.

[BibT_eX]

[DOI]

IEEE Access, 2019

A Big Data Semantic Driven Context Aware Recommendation Method for Question-Answer Items.

[BibT_eX]

[DOI]

IEEE Access, 2019

A Health-Awareness Nutrition Recommender System.

[BibT_eX]

[DOI]

Proceedings of the 14th IEEE International Conference on Intelligent Systems and Knowledge Engineering, 2019

2018

A Recommender System for Programming Online Judges Using Fuzzy Information Modeling.

[BibT_eX]

[DOI]

Informatics, 2018

A fuzzy approach for natural noise management in group recommender systems.

[BibT_eX]

[DOI]

Expert Syst. Appl., 2018

2017

Fuzzy Tools in Recommender Systems: A Survey.

[BibT_eX]

[DOI]

Int. J. Comput. Intell. Syst., 2017

An empirical study of natural noise management in group recommendation systems.

[BibT_eX]

[DOI]

Decis. Support Syst., 2017

A recommendation approach for programming online judges supported by data preprocessing techniques.

[BibT_eX]

[DOI]

Appl. Intell., 2017

A Fuzzy Approach for Recommending Problems to Solve in Programming Online Judges.

[BibT_eX]

[DOI]

Yaile Caballero

Proceedings of the Advances in Soft Computing, 2017

2016

A fuzzy model for managing natural noise in recommender systems.

[BibT_eX]

[DOI]

Appl. Soft Comput., 2016

Managing Natural Noise in Recommender Systems.

[BibT_eX]

[DOI]

Proceedings of the Theory and Practice of Natural Computing - 5th International Conference, 2016

2015

Correcting noisy ratings in collaborative recommender systems.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2015

2014

An e-Learning Collaborative Filtering Approach to Suggest Problems to Solve in Programming Online Judges.

[BibT_eX]

[DOI]

Int. J. Distance Educ. Technol., 2014

2013

A Regularity-Based Preprocessing Method for Collaborative Recommender Systems.

[BibT_eX]

[DOI]

Milton García-Borroto

J. Inf. Process. Syst., 2013

Managing natural noise in collaborative recommender systems.

[BibT_eX]

[DOI]