A deep multimodal autoencoder-decoder framework for customer churn prediction incorporating chat-GPT.

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Title: A deep multimodal autoencoder-decoder framework for customer churn prediction incorporating chat-GPT.
Authors: Li, Yun1, liyun@guat.edu.cn, Xia, Guoen2, xia2022guoen@163.com, Wang, Su3, ws13773458384@163.com, Li, Ying1, lilyannO@1utar.my
Source: Multimedia Tools & Applications; Dec2024, Vol. 83 Issue 41, p89563-89589, 27p
Database: Applied Science & Technology Source
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DbLabel: Applied Science & Technology Source
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  Data: A deep multimodal autoencoder-decoder framework for customer churn prediction incorporating chat-GPT.
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  Data: <searchLink fieldCode="AU" term="%22Li%2C+Yun%22">Li, Yun</searchLink><relatesTo>1</relatesTo>, <i>liyun@guat.edu.cn</i><br /><searchLink fieldCode="AU" term="%22Xia%2C+Guoen%22">Xia, Guoen</searchLink><relatesTo>2</relatesTo>, <i>xia2022guoen@163.com</i><br /><searchLink fieldCode="AU" term="%22Wang%2C+Su%22">Wang, Su</searchLink><relatesTo>3</relatesTo>, <i>ws13773458384@163.com</i><br /><searchLink fieldCode="AU" term="%22Li%2C+Ying%22">Li, Ying</searchLink><relatesTo>1</relatesTo>, <i>lilyannO@1utar.my</i>
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RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1007/s11042-023-17715-6
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      – Code: eng
        Text: English
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      – TitleFull: A deep multimodal autoencoder-decoder framework for customer churn prediction incorporating chat-GPT.
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              Text: Dec2024
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              Y: 2024
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              Value: 83
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