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Artificial Intelligence for Automated Pricing Based on Product Descriptions / by Nguyen Thi Ngoc Anh, Tran Ngoc Thang, Vijender Kumar Solanki

By: Anh, Nguyen Thi Ngoc, autor
Contributor(s): Thang, Tran Ngoc, autoor | Solanki, Vijender Kumar, (1980-), autor
Material type: materialTypeLabelE-bookSeries: (SpringerBriefs in Computational Intelligence, 2625-3712).Publisher: Singapore : Springer International Publishing, 2022Edition: 1st edition 2022.Description: 1 recurso en línea (XV, 53 páginas) : 27 ilustraciones, 12 ilustraciones a color.ISBN: 9789811647024.Subject: Precios | Data mining | Inteligencia artificialOnline resources: Acceso a este recurso digital (usuarios Universidad Europea de Madrid)Digital Resources
Contents:
1. Pricing based on product descriptions: problem, data, and methods -- 2. Extract product data from descriptions by NLP techniques -- 3. Segmentation and Quantity the qualify features -- 4. Pricing prediction using machine learning and ensemble methods -- 5. Applications & Discussions.
Summary: 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. .
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Holdings
Item type Current library Collection Call number Status Date due Barcode Item holds
LIBRO-E NO PRÉSTAMO LIBRO-E NO PRÉSTAMO Madrid Digital Acceso Electrónico (UEM) Ciencias Sociales HF5416.5 2022 EB (Browse shelf(Opens below)) Acceso electrónico eBook.09012138
Total holds: 0

1. Pricing based on product descriptions: problem, data, and methods -- 2. Extract product data from descriptions by NLP techniques -- 3. Segmentation and Quantity the qualify features -- 4. Pricing prediction using machine learning and ensemble methods -- 5. Applications & Discussions.

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. .

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