Artificial Intelligence for Automated Pricing Based on Product Descriptions

Bibliographic Details
Main Authors: Anh, Nguyen Thi Ngoc (Author), Thang, Tran Ngoc (Author), Solanki, Vijender Kumar (Author)
Corporate Author: SpringerLink (Online service)
Summary:XV, 53 p. 27 illus., 12 illus. in color.
text
Language:English
Published: Singapore : Springer Nature Singapore : Imprint: Springer, 2022.
Edition:1st ed. 2022.
Series:SpringerBriefs in Computational Intelligence,
Subjects:
Online Access:https://doi.org/10.1007/978-981-16-4702-4
Format: Electronic Book

MARC

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505 0 |a 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. 
520 |a 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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