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Future Internet, Volume 13, Issue 1

January 2021 - 21 articles

Cover Story: In this study, machine learning and expert knowledge are employed to classify web pages according to the degree of content adjustment to the search engine optimization (SEO) recommendations. The experimental results show that machine learning can be used to predict the degree of adjustment of web pages to the SEO recommendations. The practical significance of the proposed approach is in providing the core for building software agents to automatically detect web pages, or parts of web pages, that need improvement to comply with the SEO guidelines and, therefore, potentially gain higher rankings by search engines. The results of this study enable the determination of optimal values of ranking factors that search engines use to rank web pages. View this paper.

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Article

23 Citations

5,408 Views

11 Pages

A Data Augmentation Approach to Distracted Driving Detection

Jing Wang,
ZhongCheng Wu,
Fang Li and
Jun Zhang

Future Internet2021, 13(1), 1;https://doi.org/10.3390/fi13010001

22 December 2020

Distracted driving behavior has become a leading cause of vehicle crashes. This paper proposes a data augmentation method for distracted driving detection based on the driving operation area. First, the class activation mapping method is used to show...

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