Heitor Werneck

According to our database, Heitor Werneck authored at least 7 papers between 2020 and 2022.

Collaborative distances:

• Dijkstra number of six.
• Erdős number of five.

2022

Introducing Contextual Information in an Ensemble Recommendation System for Fashion Domains.

Heitor Werneck, Nícollas Campos Silva, Carlos Masao Mito, Adriano César Machado Pereira, Diego Roberto Colombo Dias, Elisa Tuler de Albergaria, Leonardo Chaves Dutra da Rocha

Proceedings of the WebMedia '22: Brazilian Symposium on Multimedia and Web, Curitiba, Brazil, November 7, 2022

iRec: An Interactive Recommendation Framework.

Thiago Silva, Nícollas Silva, Heitor Werneck, Carlos Mito, Adriano C. M. Pereira, Leonardo Rocha

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

A Stacking Recommender System Based on Contextual Information for Fashion Retails.

Heitor Werneck, Nícollas Silva, Carlos Mito, Adriano C. M. Pereira, Elisa Tuler, Diego Dias, Leonardo Rocha

Proceedings of the Computational Science and Its Applications - ICCSA 2022, 2022

2021

A contextual approach to improve the user's experience in interactive recommendation systems.

Nícollas Silva, Heitor Werneck, Thiago Silva, Adriano C. M. Pereira, Leonardo Rocha

Proceedings of the WebMedia '21: Brazilian Symposium on Multimedia and the Web, 2021

2020

A Survey on Point-of-Interest Recommendation in Location-based Social Networks.

Heitor Werneck, Nícollas Silva, Matheus Carvalho Viana, Fernando Mourão, Adriano C. M. Pereira, Leonardo Rocha

Proceedings of the WebMedia '20: Brazillian Symposium on Multimedia and the Web, São Luís, Brazil, November 30, 2020

Combining complementary diversification models for personalized POI recommendations.

Heitor Werneck, Nícollas Silva, Fernando Mourão, Adriano C. M. Pereira, Leonardo Rocha

Proceedings of the WebMedia '20: Brazillian Symposium on Multimedia and the Web, São Luís, Brazil, November 30, 2020

The impact of first recommendations based on exploration or exploitation approaches in recommender systems' learning.

Thiago Silva, Nícollas Silva, Heitor Werneck, Adriano C. M. Pereira, Leonardo Rocha

Proceedings of the WebMedia '20: Brazillian Symposium on Multimedia and the Web, São Luís, Brazil, November 30, 2020