Personal identification

Full name

Luís António Galego Pinto

Citation names

• Pinto, Luís

Author identifiers

Ciência ID

761F-2F3E-7187

ORCID iD

0000-0002-2215-6335

	Degree	Classification
2019 Concluded	Estatística e Gestão de Informação (Mestrado) Major in Área de especialização: Estudos de Mercado e Gestão do Relacionamento com o Cliente Universidade NOVA de Lisboa NOVA Information Management School, Portugal "Mobile app recommendations using deep learning and big data" (THESIS/DISSERTATION)	17
2013 - 2016 Concluded	Marketing (Licenciatura) Instituto Politécnico de Setúbal Escola Superior de Ciências Empresariais, Portugal	17

Other Careers

	Category Host institution	Employer
2019 - Current	Técnico Superior (Técnico Superior)	BNP Paribas Personal Finance, Portugal

Publications

Book chapter	Pinto, Luís G.; Cavique, Luís; Gomes, Orlando; Santos, Jorge M. A.. "Inhomogenous Marketing Mix Diffusion". In Springer Proceedings in Complexity, 29-41. Springer Nature Switzerland, 2024. Published • 10.1007/978-3-031-57515-0_3
Journal article	Roberto Henriques; Luís Pinto. "A novel evaluation framework for recommender systems in big data environments". Expert Systems with Applications 231 (2023): 120659-120659. http://dx.doi.org/10.1016/j.eswa.2023.120659. 10.1016/j.eswa.2023.120659 Luís Pinto; Luís Cavique; Jorge M.A. Santos. "Marketing Mix and New Product Diffusion Models". Procedia Computer Science 204 (2022): 885-890. http://dx.doi.org/10.1016/j.procs.2022.08.107. 10.1016/j.procs.2022.08.107
Thesis / Dissertation	Pinto, Luís António Galego. "Mobile app recommendations using deep learning and big data". Master, 2019. http://hdl.handle.net/10362/59930.

Title

2024	Economista Ordem dos Economistas, Portugal