Multi-step Methods for Machine Learning Models with Web Metrics
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Published:2023-11-27
Issue:11
Volume:76
Page:
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ISSN:2367-5535
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Container-title:Proceedings of the Bulgarian Academy of Sciences
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language:
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Short-container-title:C. R. Acad. Bulg. Sci.
Author:
Popchev Ivan,Orozova Daniela
Abstract
The purpose of the article is to outline methods as a multi-step process for developing an information flow with machine learning models that can be used for research, analysis, and training. Web metrics analysis of available web content can provide useful information about user behaviour. The results show that the formulated solutions can be successfully used for different tasks and can be adapted to new technologies and applications.
Publisher
Prof. Marin Drinov Publishing House of BAS (Bulgarian Academy of Sciences)
Subject
Multidisciplinary