融合多源特征的电梯广告推荐系统被引量：2

Elevator Advertising Recommendation System Integrating Multi-source Features

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摘要针对电梯传媒终端广告精准投放面临的采集广告受众个人隐私数据难的问题,提出融合电梯交通流量、广告主行为时空特征、广告主题特征、广告主评分行为等多源特征的电梯广告推荐算法。首先,利用差分函数算法从电梯运行数据中提取电梯交通流量峰值特征;然后,通过广告主广告行为数据提取广告主行为时空特征;接着,将电梯交通流量峰值特征与广告主行为时空特征融合,并利用ReliefF算法进行特征筛选;最后,设计融合多源特征的电梯广告推荐系统,实现电梯广告节目的精准投放。实验结果表明:融合多源特征的电梯广告推荐算法的Precision、Recall和ROC曲线的AUC值等评价指标均明显提高;在一定程度上解决了冷启动、数据稀疏等问题。该系统无需采集广告受众的个人隐私数据,具有较强的实用性。 In response to the difficulty in collecting personal privacy data of advertising audiences for precise advertising placement in elevator media terminals,a elevator advertising recommendation algorithm is proposed that integrates multi-source features such as elevator traffic flow,spatiotemporal characteristics of advertiser behavior,advertising theme characteristics,and advertiser rating behavior.Firstly,the difference function algorithm is used to extract the peak characteristics of elevator traffic flow from elevator operation data;Then,extract the spatiotemporal characteristics of advertisers'behavior through their advertising behavior data;Next,the peak characteristics of elevator traffic flow are fused with the spatiotemporal characteristics of advertiser behavior,and the ReliefF algorithm is used for feature selection;Finally,design an elevator advertising recommendation system that integrates multi-source features to achieve accurate placement of elevator advertising programs.The experimental results show that the evaluation indicators such as Precision,Recall,and AUC value of the ROC curve of the elevator advertising recommendation algorithm that integrates multi-source features are significantly improved;To some extent,it has solved problems such as cold start and data sparsity.This system does not need to collect personal privacy data of advertising audiences,and has strong practicality.

作者陈彦彬杨泽华谢佳 CHEN Yanbin;YANG Zehua;XIE Jia(Training and Information Center,Jieyang Polytechnic,Jieyang 522051,China;General Manager,Guangdong Bohua Technology Co.,Ltd.,Jieyang 522000,China)

机构地区揭阳职业技术学院实训与信息中心广东博华科技有限公司

出处《自动化与信息工程》 2023年第2期27-35,共9页 Automation & Information Engineering

基金揭阳市科技计划项目(2019070) 广东省科技厅驻镇帮镇扶村农村科技特派员重点派驻任务(KTP20210400)。

关键词多源特征电梯广告推荐算法精准投放 multi-source features elevator advertising recommendation algorithm accurate placement

分类号 TP301 [自动化与计算机技术—计算机系统结构]

作者简介陈彦彬,男,1987年生,本科学士,高级工程师,主要研究方向:电子信息系统开发、终端计算广告等人工智能教学与科研。E-mail:chenyanbin01@126.com;杨泽华,男,1967年生,本科学历,总经理、技术员,主要研究方向:计算机技术应用;谢佳,男,1990年生,本科学历,技术员,主要研究方向:计算机技术应用。E-mail:chenyanbin01@126.com。