Diego Corrêa da Silva

According to our database, Diego Corrêa da Silva authored at least 16 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Calibrated Recommendations: Survey and Future Directions.

Diego Corrêa da Silva, Dietmar Jannach

Trans. Recomm. Syst., September, 2026

Multi-Label Incremental Learning for State Prediction of Actuator Devices in Smart Homes.

Mayki dos Santos Oliveira, Eduardo Ferreira da Silva, Denis Robson Dantas Boaventura, Joel Machado Pires, Isaque Santana Copque, Diego Corrêa da Silva, Ricardo Araújo Rios, Ivan do Carmo Machado, Cássio Vinicius Serafim Prazeres, Maycon Leone Maciel Peixoto, Gustavo Bittencourt Figueiredo, Eduardo Santana de Almeida, Frederico Araújo Durão

IEEE Open J. Comput. Soc., 2026

State recommender system for actuator devices in smart homes: Integration of deep reinforcement learning and implicit feedback.

Denis Robson Dantas Boaventura, Eduardo Ferreira da Silva, Mayki dos Santos Oliveira, Diego Corrêa da Silva, Frederico Araújo Durão

Expert Syst. Appl., 2026

2025

Understanding Distribution Structure on Calibrated Recommendation Systems.

Diego Corrêa da Silva, Denis Robson Dantas Boaventura, Mayki dos Santos Oliveira, Eduardo Ferreira da Silva, Joel Machado Pires, Frederico Araújo Durão

CoRR, August, 2025

Considering Time and Feature Entropy in Calibrated Recommendations.

Diego Corrêa da Silva, Dietmar Jannach, Frederico Araújo Durão

ACM Trans. Intell. Syst. Technol., June, 2025

Evaluating Multi-Label Machine Learning Models for Smart Home Environments.

Diego Corrêa da Silva, Denis Robson Dantas Boaventura, Mayki dos Santos Oliveira, Jander Pereira Santos Junior, Eduardo Ferreira da Silva, Eduardo Santana de Almeida, Cássio V. S. Prazeres, Ivan do Carmo Machado, Maycon Leone Maciel Peixoto, Gustavo Bittencourt Figueiredo, Frederico Araújo Durão

Softw. Pract. Exp., 2025

A Case Study of Smart Home Development.

Luana Almeida Martins, Denivan Campos, Joselito Mota Júnior, Dhyego Tavares, Jander Júnior, Mayki dos Santos Oliveira, Denis Boaventura, Diego Corrêa da Silva, Eduardo Ferreira da Silva, George Pinto, Nilton Flávio S. Seixas, Adriano H. O. Maia, Matias Romário Pinheiro dos Santos, Ernando Batista, Frederico Araújo Durão, Gustavo Bittencourt Figueiredo, Maycon L. M. Peixoto, Cássio V. S. Prazeres, Ivan do Carmo Machado, Eduardo Santana de Almeida

IEEE Softw., 2025

Benchmarking fairness measures for calibrated recommendation systems on movies domain.

Diego Corrêa da Silva, Frederico Araújo Durão

Expert Syst. Appl., 2025

Exploiting Surrogate Submodular and Cost-Effective Lazy Forward Algorithms for Calibrated Recommendations.

Diego Corrêa da Silva, Joel Machado Pires, Frederico Araújo Durão

Proceedings of the 40th Brazilian Symposium on Databases, 2025

2024

Utilization of Clustering Techniques and Markov Chains for Long-Tail Item Recommendation Systems.

Diogo Vinícius de Sousa Silva, Davi Silva da Cruz, Diego Corrêa da Silva, João Paulo Dias de Almeida, Frederico Araújo Durão

Proceedings of the 20th International Conference on Web Information Systems and Technologies, 2024

Designing, Implementing, and Testing AI-Oriented Smart Home Applications: Challenges and Best Practices.

Denivan Campos, Luana Almeida Martins, Joselito Mota Jr., Dhyego Tavares, Jander Pereira, Mayki dos Santos Oliveira, Denis Boaventura, Diego Corrêa da Silva, Eduardo Ferreira da Silva, George Pinto, Nilton Flávio S. Seixas, Adriano H. O. Maia, Matias Romário Pinheiro dos Santos, Ernando Passos, Frederico Araújo Durão, Gustavo B. Figueiredo, Maycon L. M. Peixoto, Tiago Januario, Cássio V. S. Prazeres, Ivan Machado, Eduardo Santana de Almeida

Proceedings of the Software Architecture. ECSA 2024 Tracks and Workshops, 2024

2023

Introducing a framework and a decision protocol to calibrated recommender systems.

Diego Corrêa da Silva, Frederico Araújo Durão

Appl. Intell., October, 2023

How Novel and Unexpected the Calibrated Recommendations Are?

Diego Corrêa da Silva, Frederico Araújo Durão

Proceedings of the 29th Americas Conference on Information Systems, 2023

2022

Introducing a Framework and a Decision Protocol to Calibrate Recommender Systems.

Diego Corrêa da Silva, Frederico Araújo Durão

CoRR, 2022

GRSPOI: A Point-of-Interest Recommender Systems for Groups Using Diversification.

Jadna Almeida da Cruz, Amanda Chagas de Oliveira, Diego Corrêa da Silva, Frederico Araújo Durão

Proceedings of the SBSI: XVIII Brazilian Symposium on Information Systems, Curitiba, Brazil, May 16, 2022

2021

Exploiting personalized calibration and metrics for fairness recommendation.

Diego Corrêa da Silva, Marcelo Garcia Manzato, Frederico Araújo Durão

Expert Syst. Appl., 2021