用户行为算法在电子商务网站中运用分析
Application and Analysis of User Behavior Algorithm in E-Commerce Website
DOI: 10.12677/ecl.2025.14124504, PDF,   
作者: 张昊杰：南京信息工程大学管理工程学院，江苏 南京
关键词: 用户行为算法；电子商务；网站平台；应用分析；User Behavior Algorithm； E-Commerce； Website Platform； Application Analysis
摘要: 现阶段，电子商务竞争的日益加剧，当前如何满足用户需求逐渐成为当前重点研究内容，这也是当前电子商务网站的关键。在此背景下，基于信息化技术手段的用户行为分析尤为重要，并提出相应用户行为算法，通过落实用户行为算法可以从根本上改变电子商务网站的运营模式。本文基于此，阐述并分析用户行为的一般方法，分析并讨论信息化技术手段下的用户行为算法在电子商务网站中的应用。研究结果表明，通过在电子商务网站中落实用户行为算法，实现了个性化推荐、精准广告投放、动态定价及库存管理等目的，并对平台销量转化与用户忠诚度有着积极影响。
Abstract: In the current era of intensifying e-commerce competition, addressing user needs has become a key research focus and a critical factor for website success. Against this backdrop, user behavior analysis leveraging information technology has gained particular significance. This paper proposes corresponding user behavior algorithms that can fundamentally transform e-commerce website operations. Building on this foundation, the study outlines general user behavior methodologies and analyzes the application of such algorithms in e-commerce platforms. Research findings demonstrate that implementing these algorithms enables personalized recommendations, targeted advertising, dynamic pricing, and inventory management, while positively impacting platform sales conversion and user retention.
文章引用：张昊杰. 用户行为算法在电子商务网站中运用分析[J]. 电子商务评论, 2025, 14(12): 5405-5410. https://doi.org/10.12677/ecl.2025.14124504

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