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Titlebook: Artificial Intelligence for Automated Pricing Based on Product Descriptions; Nguyen Thi Ngoc Anh,Tran Ngoc Thang,Vijender Kumar Book 2022

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發(fā)表于 2025-3-21 19:19:05 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
期刊全稱Artificial Intelligence for Automated Pricing Based on Product Descriptions
影響因子2023Nguyen Thi Ngoc Anh,Tran Ngoc Thang,Vijender Kumar
視頻videohttp://file.papertrans.cn/163/162345/162345.mp4
發(fā)行地址Highlights artificial intelligence algorithms used in implementation of automated pricing.Presents the process for building automated pricing models from crawl data, preprocessed data, and their appli
學(xué)科分類SpringerBriefs in Applied Sciences and Technology
圖書封面Titlebook: Artificial Intelligence for Automated Pricing Based on Product Descriptions;  Nguyen Thi Ngoc Anh,Tran Ngoc Thang,Vijender Kumar Book 2022
影響因子.This book highlights artificial intelligence algorithms used in implementation of automated pricing. It presents the process for building automated pricing models from crawl data, preprocessed data to implement models, and their applications. The book also focuses on?machine learning and deep learning methods for pricing, including from regression methods to hybrid and ensemble methods. The computational experiments are presented to illustrate the pricing processes and models..
Pindex Book 2022
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2191-530X g models from crawl data, preprocessed data, and their appli.This book highlights artificial intelligence algorithms used in implementation of automated pricing. It presents the process for building automated pricing models from crawl data, preprocessed data to implement models, and their applicatio
地板
發(fā)表于 2025-3-22 08:11:19 | 只看該作者
Book 2022ricing models from crawl data, preprocessed data to implement models, and their applications. The book also focuses on?machine learning and deep learning methods for pricing, including from regression methods to hybrid and ensemble methods. The computational experiments are presented to illustrate t
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發(fā)表于 2025-3-22 08:50:36 | 只看該作者
Pricing Based on Product Descriptions: Problem, Data and Methods, analyzed and illustrated for the problem in question. These datasets are also described here in detail. In this chapter, we also survey the basic machine learning methods to solve the pricing problem outlined above. Combining these methods to create a new, more efficient method is proposed in the l
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Book 2022ricing models from crawl data, preprocessed data to implement models, and their applications. The book also focuses on?machine learning and deep learning methods for pricing, including from regression methods to hybrid and ensemble methods. The computational experiments are presented to illustrate the pricing processes and models..
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Elektronisch geregelte Luftfedersysteme,Machine learning and deep learning archive significant advances in the past few decades [.].
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