广告
在线广告
上下文广告
本土广告
实施
广告研究
个性化营销
广告宣传
计算机科学
搜索广告
定向广告
个性化
业务
万维网
数字营销
互联网
企业对政府
程序设计语言
营销投资回报率
作者
Shasha Deng,Chee‐Wee Tan,Weijun Wang,Yu Pan
标识
DOI:10.1080/00913367.2019.1652121
摘要
Artificial intelligence in programmatic advertising constitutes fertile grounds for marketing communication with tremendous opportunities. Yet, despite its touted benefits, contemporary implementations of programmatic advertising do not harness self-generative technologies so much so that different consumers are exposed to identical content. Consequently, we advance a smart generation system of personalized advertising copy (SGS-PAC) that can automatically personalize advertising content to align with the needs of individual consumers. Analytical results from a user experiment involving about 80 subjects underscore that personalized advertising copies generated by SGS-PAC can bolster click rate in online advertising platforms. Findings from this study bear significant implications for the application of artificial intelligence in online advertising.
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