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 [VerfasserIn]

Contributor(s):

Resource type: Ressourcentyp: Buch (Online)Book (Online)Language: English Series: SpringerBriefs in Computational IntelligencePublisher: Singapore : Springer Singapore, 2022Publisher: Singapore : Imprint: Springer, 2022Edition: 1st ed. 2022Description: 1 Online-Ressource(XV, 53 p. 27 illus., 12 illus. in color.)ISBN:

9789811647024

Subject(s):

Additional physical formats: 9789811647017 | 9789811647031 | Erscheint auch als: 9789811647017 Druck-Ausgabe | Erscheint auch als: 9789811647031 Druck-AusgabeDDC classification:

006.3 23

DOI: DOI: 10.1007/978-981-16-4702-4Online resources:

Summary: 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. .PPN: PPN: 1769722831Package identifier: Produktsigel: ZDB-2-INR | ZDB-2-SEB | ZDB-2-SXIT

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