@phdthesis{danesi_um_2024,
	title = {Um estudo sobre bibliotecas para sistemas de recomendação em {Python}},
	copyright = {Acesso Aberto},
	url = {http://repositorio.ufsm.br/handle/1/33964},
	abstract = {This paper presents a study on recommendation systems, with an emphasis on the analysis and implementation of algorithms using Python libraries for the Collaborative Filtering approach. Identifying the relevance of personalized recommendations in various applications, this research explores algorithms available for the development of such systems, using libraries as tools that facilitate their implementation. In particular, libraries implemented in the Python programming language are examined in the context of recommendation systems, such as Surprise and LensKit for Python (LKPY), presenting the functioning of their main algorithms, K -Nearest Neighbors (K-NN) and Slope One. Thus, the theoretical analysis of 
these tools is complemented by practical implementation and application in a real scenario demonstrating the performance and applicability of the libraries.},
	language = {por},
	urldate = {2025-05-22},
	school = {Universidade Federal de Santa Maria},
	author = {Danesi, Lorenzo Dalla Corte},
	month = dec,
	year = {2024},
	note = {Accepted: 2025-01-28T16:09:12Z
Publisher: Universidade Federal de Santa Maria},
}

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