<?xml version="1.0" encoding="UTF-8"?>
<article xsi:noNamespaceSchemaLocation="http://jats.nlm.nih.gov/publishing/1.1/xsd/JATS-journalpublishing1-mathml3.xsd" dtd-version="1.1" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">
    <front>
        <journal-meta>
            <journal-title-group>
                <journal-title>Journal of Global Humanities and Social Sciences</journal-title>
            </journal-title-group>
            <issn media_type="print">2737-5374</issn>
            <issn media_type="electronic">2737-5382</issn>
            <publisher>
                <publisher-name>BONI FUTURE DIGITAL PUBLISHING CO.,LIMITED </publisher-name>
            </publisher>
            <url>https://ojs.bonfuturepress.com/index.php/GHSS/article/view/1418</url>
            <volume>4</volume>
            <issue>04</issue>
            <year>2023</year>
            <published-time>2023-08-29</published-time>
            <title>A Study on User Behavior of E-commerce Platforms based on Data Analysis</title>
            <author>Ge Guo</author>
            <abstract>With the popularity of the Internet and the rapid development of mobile technology, e-commerce platforms have become one of the main channels for people's shopping and transactions. On e-commerce platforms, users' behavioral data are widely recorded and stored, which provides a rich data resource for studying user behavior. Studying data analysis of user behavior on e-commerce platforms helps to understand users' behavior patterns and provides a scientific basis for e-commerce platforms to optimize marketing strategies, improve user experience and realize personalized recommendations. The article elaborates on the data collection and processing work from three aspects: data source selection and acquisition, pre-processing and cleaning, data feature extraction and variable selection, and studies the user behavior of e-commerce platform from three perspectives: user purchasing behavior, user browsing behavior, and user commenting behavior, to promote the development and enhance the competitiveness of e-commerce platform.</abstract>
            <keywords>data analysis,e-commerce platform,users,behavior</keywords>
        </journal-meta>
        <article-meta>
            <article-id pub-id-type="doi">10.61360/BoniGHSS232014180806</article-id>
        </article-meta>
    </front>
    <tbody>
        <back>
            <sec/>
            <ref-list>
                <ref>
                   <element-citation publication-type="journal">
                       <p></p>
                   </element-citation>
                </ref>
            </ref-list>
        </back>
    </tbody>
</article>