Zobrazeno 1 - 10
of 183
pro vyhledávání: '"Moraes, Felipe"'
Autor:
Gajtkowski, Adam, Moraes, Felipe
Traditionally, data scientists use exploratory data analysis techniques such as correlation analysis, summary statistics, and regression analysis for identifying the most product enhancements and roadmap planning. However, these conventional approach
Externí odkaz:
http://arxiv.org/abs/2406.02743
Efficiently allocating treatments with a budget constraint constitutes an important challenge across various domains. In marketing, for example, the use of promotions to target potential customers and boost conversions is limited by the available bud
Externí odkaz:
http://arxiv.org/abs/2405.02183
Autor:
Moraes, Felipe, Proença, Hugo Manuel, Kornilova, Anastasiia, Albert, Javier, Goldenberg, Dmitri
Uplift modeling is a collection of machine learning techniques for estimating causal effects of a treatment at the individual or subgroup levels. Over the last years, causality and uplift modeling have become key trends in personalization at online e
Externí odkaz:
http://arxiv.org/abs/2308.09066
Autor:
Proença, Hugo Manuel, Moraes, Felipe
Promotions play a crucial role in e-commerce platforms, and various cost structures are employed to drive user engagement. This paper focuses on promotions with response-dependent costs, where expenses are incurred only when a purchase is made. Such
Externí odkaz:
http://arxiv.org/abs/2306.13759
Bandit algorithms are often used in the e-commerce industry to train Machine Learning (ML) systems when pre-labeled data is unavailable. However, the industry setting poses various challenges that make implementing bandit algorithms in practice non-t
Externí odkaz:
http://arxiv.org/abs/2209.04147
Autor:
Tavares de Moraes, Felipe1 felipetavaresmoraes@gmail.com
Publikováno v:
Territórios e Fronteiras. jul-dez2023, Vol. 16 Issue 2, p272-297. 26p.
Autor:
Roder, Ludmila Ribeiro, Guerrini, Iraê Amaral, Lozano Sivisaca, Deicy Carolina, Yaguana Puglla, Celso Anibal, Góes de Moraes, Felipe, Pinheiro da Silva, Jaqueline, Batista Fonseca, Renata Cristina, Umbelino, Maria Tereza, James, Jason Nathaniel, Capra, Gian Franco, Ganga, Antonio
Publikováno v:
In Journal of Environmental Management 1 January 2023 325 Part B
Akademický článek
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