字节跳动广告系统中的人工智能推荐算法设计与实现

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doi：10.3969/J.ISSN.1672-7274.2025.06.021

中图分类号：TP391.3 文献标志码：A 文章编码：1672-7274（2025）06-0062-03

Design and Implementation of AI Recommendation Algorithm inByteDance Advertising System

MU Yixiang （Beijing Zitiao Network TechnologyCo.，Ltd.，Beijing10oo89，China）

Abstract：AdvancedAIalgorithm isapplied in theadvertising recommendationsystem with ByteDance torealize personalized advertising.The system architecture includes a data layer， a service layer，and an application layer， throughwhich large-scaledatais processedand fast algorithmiterations areachieved.Thisarticlediscusses indetail the basic principles，architecture，and evaluation indicators of algorithms，and explores the applications of feature engineering optimization， model fusion techniques，and real-time recommendation algorithms.The practical case analysisdemonstrates the actualefectiveness ofthesystem in improving advertising eficiencyanduser satisfaction， while pointing out the challnges and response strategies encountered in the implementation process.

Keywords： personalized recommendation; algorithm optimization; real time data processing

随着互联网技术的飞速发展，个性化推荐系统在吸引用户、增加用户黏性、提高广告转化率等方面发挥着越来越重要的作用。（剩余4455字）