字節(jié)跳動(dòng)廣告系統(tǒng)中的人工智能推薦算法設(shè)計(jì)與實(shí)現(xiàn)

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doi：10.3969/J.ISSN.1672-7274.2025.06.021

中圖分類號(hào)：TP391.3 文獻(xiàn)標(biāo)志碼：A 文章編碼：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

隨著互聯(lián)網(wǎng)技術(shù)的飛速發(fā)展，個(gè)性化推薦系統(tǒng)在吸引用戶、增加用戶黏性、提高廣告轉(zhuǎn)化率等方面發(fā)揮著越來越重要的作用。（剩余4455字）