Joel Pinho Lucas

According to our database, Joel Pinho Lucas authored at least 14 papers between 2008 and 2023.

Collaborative distances:

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

2023

Challenges and Solutions in Large-Scale News Recommenders.

Joel Pinho Lucas, Leticia Freire de Figueiredo

Proceedings of the Highlights in Practical Applications of Agents, Multi-Agent Systems, and Cognitive Mimetics. The PAAMS Collection, 2023

NPR: a News Portal Recommendations dataset.

Joel Pinho Lucas, Joao Felipe Guedes da Silva, Leticia Freire de Figueiredo

Proceedings of the First Workshop on the Normative Design and Evaluation of Recommender Systems (NORMalize 2023) co-located with the 17th ACM Conference on Recommender Systems (RecSys 2023), 2023

2022

Abstract: Multi-domain News Recommender Systems at Globo: Challenges, Approaches and Evaluation Metrics.

Joel Pinho Lucas, Leticia Freire de Figueiredo, Felipe Alves Ferreira

Proceedings of the Perspectives on the Evaluation of Recommender Systems Workshop 2022 co-located with the 16th ACM Conference on Recommender Systems (RecSys 2022), 2022

2014

Fuzzy Data-Mining Hybrid Methods for Recommender Systems.

María N. Moreno García, Joel Pinho Lucas, Vivian F. López Batista

Proceedings of the Soft Computing for Business Intelligence, 2014

2013

Lightweight tourism recommendation.

Nuno Luz, Ricardo Anacleto, Constantino Martins, Ana de Almeida, Joel Pinho Lucas

Int. J. Web Eng. Technol., 2013

A hybrid recommendation approach for a tourism system.

Joel Pinho Lucas, Nuno Luz, María N. Moreno García, Ricardo Anacleto, Ana Maria de Almeida Figueiredo, Constantino Martins

Expert Syst. Appl., 2013

2012

A Fuzzy Associative Classification Approach for Recommender Systems.

Joel Pinho Lucas, Anne Laurent, María N. Moreno García, Maguelonne Teisseire

Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2012

Making use of associative classifiers in order to alleviate typical drawbacks in recommender systems.

Joel Pinho Lucas, Saddys Segrera, María N. Moreno García

Expert Syst. Appl., 2012

2011

Applying Recommender Methodologies in Tourism Sector.

Joel Pinho Lucas, Bruno E. da Silva Coelho, María N. Moreno García, Ana Maria de Almeida Figueiredo, Constantino Lopes Martins

Proceedings of the Highlights in Practical Applications of Agents and Multiagent Systems, 2011

2010

Multivariate Discretization for Associative Classification in a Sparse Data Application Domain.

María N. Moreno García, Joel Pinho Lucas, Vivian F. López Batista, María José Polo Martín

Proceedings of the Hybrid Artificial Intelligence Systems, 5th International Conference, 2010

Semantic Based Web Mining for Recommender Systems.

María N. Moreno García, Joel Pinho Lucas, Vivian F. López Batista, María Dolores Muñoz Vicente

Proceedings of the Distributed Computing and Artificial Intelligence, 2010

2009

Mining quantitative class-association rules for software size estimation.

María N. Moreno García, Joel Pinho Lucas, Saddys Segrera, Vivian F. López Batista

Proceedings of the 24th International Symposium on Computer and Information Sciences, 2009

2008

Comparing the Use of Traditional and Associative Classifiers towards Personalized Recommendations.

Joel Pinho Lucas, Saddys Segrera, María N. Moreno García

Proceedings of the Twentieth International Conference on Software Engineering & Knowledge Engineering (SEKE'2008), 2008

Information-Theoretic Measures for Meta-learning.

Saddys Segrera, Joel Pinho Lucas, María N. Moreno García

Proceedings of the Hybrid Artificial Intelligence Systems, Third International Workshop, 2008