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SYSTEM AND METHOD FOR AUTOMATICALLY GENERATING EMAIL AND ASSOCIATED EMAIL STRATEGIES

发明专利审中
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5权利要求 · 1 独立
§ Ⅰ

卷宗概要

发明人

Marcel Cheng Wei TAN; Ken Jyi LIM; Edwin Khai Ern CHAN; Yao Jie LIM; Zhuoyi WU; James Christopher Keys; Gabriel Matthew Galupo RODRIGUEZ; Vincent James Galupo RODRIGUEZ; Yul Lee KIM; Jun Yu TAN

IPC 分类

G6Q 30/251G6Q 10/107G6Q 30/201

CPC 分类

G6Q30/271G6Q10/107G6Q30/201

A method for efficiently generating a plurality of personalized email strategies and corresponding personalized emails for campaign recipients is disclosed. Multi-dimensional data comprising account data, recipient data, and seller data is received from one or more data sources. The received multi-dimensional data is processed to extract relevant features. A dynamic feature hierarchy is generated using the extracted features. A pre-trained machine learning model is fine-tuned using the dynamic feature hierarchy to generate email strategies, wherein model parameters are adjusted based on the hierarchy during fine-tuning. A plurality of email strategies is generated for each recipient by applying the fine-tuned model's recommendations. An email strategy is selected from the plurality of strategies based on one or more factors. A personalized email corresponding to the selected email strategy is generated. The personalized email and the selected email strategy used to generate it are displayed to a user.

原文(中文)

A method for efficiently generating a plurality of personalized email strategies and corresponding personalized emails for campaign recipients is disclosed. Multi-dimensional data comprising account data, recipient data, and seller data is received from one or more data sources. The received multi-dimensional data is processed to extract relevant features. A dynamic feature hierarchy is generated using the extracted features. A pre-trained machine learning model is fine-tuned using the dynamic feature hierarchy to generate email strategies, wherein model parameters are adjusted based on the hierarchy during fine-tuning. A plurality of email strategies is generated for each recipient by applying the fine-tuned model's recommendations. An email strategy is selected from the plurality of strategies based on one or more factors. A personalized email corresponding to the selected email strategy is generated. The personalized email and the selected email strategy used to generate it are displayed to a user.