首页>
外国专利>
UTILIZING A TOUCHPOINT ATTRIBUTION ATTENTION NEURAL NETWORK TO IDENTIFY SIGNIFICANT TOUCHPOINTS AND MEASURE TOUCHPOINT CONTRIBUTION IN MULTICHANNEL, MULTI-TOUCH DIGITAL CONTENT CAMPAIGNS
UTILIZING A TOUCHPOINT ATTRIBUTION ATTENTION NEURAL NETWORK TO IDENTIFY SIGNIFICANT TOUCHPOINTS AND MEASURE TOUCHPOINT CONTRIBUTION IN MULTICHANNEL, MULTI-TOUCH DIGITAL CONTENT CAMPAIGNS
展开▼
机译:利用触摸点归因注意神经网络来识别多通道,多触摸数字内容营销活动中的重要触摸点并测量触摸点贡献
展开▼
页面导航
摘要
著录项
相似文献
摘要
The present disclosure relates to systems, non-transitory computer-readable media, and methods for generating and utilizing a touchpoint attribution attention neural network to identify and measure performance of touchpoints in digital content campaigns. For example, a deep learning attribution system trains a touchpoint attribution attention neural network using touchpoint sequences, which include user interactions with content via one or more digital media channels. In one or more embodiments, the deep learning attribution system utilizes the trained touchpoint attribution attention neural network to determine touchpoint attributions of touchpoints in a target touchpoint sequence. In addition, the deep learning attribution system can utilize the trained touchpoint attribution attention neural network to generate conversion predictions for target touchpoint sequences and to provide targeted digital content over specific digital media channels to client devices of individual users.
展开▼