Impact of AI-Driven Data Visualization on User Experience in the Internet Sector

This article explores the specific impact of artificial intelligence (AI) -driven data visualisation technologies in the user experience of the Internet industry. Through the introduction of machine learning and data mining technologies, AI has significantly improved the intelligence and automation of data visualization tools, promoting innovation in visualization methods and improving the quality and efficiency of data cleaning, processing, and analysis. In addition, AI has also promoted the development of personalised data visualization, providing users with a richer and more intuitive way to present data. This paper analyses the applications of AI-driven data visualization in machine learning, natural language processing, and computer vision. It demonstrates the positive effects of AI data visualization on user understanding and optimisation of models through practical feedback from Yellowbrick tools.

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Publication Details

Journal
Scientific Journal of Technology
Published
2024-08-21
DOI
https://doi.org/10.54691/q3f67706
Citations
3
Primary Topic
Big Data and Business Intelligence
Type
article
Field-Weighted Citation Impact
1.59
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article

Impact of AI-Driven Data Visualization on User Experience in the Internet Sector

Jianke Zou, Shijia Huang, Gaozhe Jiang
3 citations
Scientific Journal of Technology
Big Data and Business Intelligence
1.59
article

Impact of AI-Driven Data Visualization on User Experience in the Internet Sector

Jianke Zou, Shijia Huang, Gaozhe Jiang
article en
3 citations

Abstract

This article explores the specific impact of artificial intelligence (AI) -driven data visualisation technologies in the user experience of the Internet industry. Through the introduction of machine learning and data mining technologies, AI has significantly improved the intelligence and automation of data visualization tools, promoting innovation in visualization methods and improving the quality and efficiency of data cleaning, processing, and analysis. In addition, AI has also promoted the development of personalised data visualization, providing users with a richer and more intuitive way to present data. This paper analyses the applications of AI-driven data visualization in machine learning, natural language processing, and computer vision. It demonstrates the positive effects of AI data visualization on user understanding and optimisation of models through practical feedback from Yellowbrick tools.

Scientific Journal of TechnologyVol. 6(8)
National University of Singapore (SG), Peking University (CN), Columbia University (US)
Industry, innovation and infrastructure
Openalex Percentile: Top 13%
Big Data and Business Intelligence
1.59
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Impact of AI-Driven Data Visualization on User Experience in the Internet Sector — Jianke Zou, Shijia Huang, et al. · Scientific Journal of Technology (2024) | TGRS Research Map | TGRS