Artificial Intelligence for Automated Pricing Based on Product Descriptions

Author:   Nguyen Thi Ngoc Anh ,  Tran Ngoc Thang ,  Vijender Kumar Solanki
Publisher:   Springer Verlag, Singapore
Edition:   1st ed. 2022
ISBN:  

9789811647017


Pages:   53
Publication Date:   29 August 2021
Format:   Paperback
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Our Price $155.22 Quantity:  
Add to Cart

Share |

Artificial Intelligence for Automated Pricing Based on Product Descriptions


Add your own review!

Overview

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.

Full Product Details

Author:   Nguyen Thi Ngoc Anh ,  Tran Ngoc Thang ,  Vijender Kumar Solanki
Publisher:   Springer Verlag, Singapore
Imprint:   Springer Verlag, Singapore
Edition:   1st ed. 2022
Weight:   0.131kg
ISBN:  

9789811647017


ISBN 10:   9811647011
Pages:   53
Publication Date:   29 August 2021
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of 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.

Reviews

Author Information

Nguyen Thi Ngoc Anh received her Ph.D. in Artificial Intelligence at Paris 6 University, France, in 2014; she was researcher of UMI 209, UMMISCO, Vietnam, from 2010 to 2018; she is also Lecturer in the University of Technology, Vietnam, since 2003. Her research concentrates on the prediction of time series, anomaly detection, stochastic processes, machine learning, and data mining. She has more than ten years of academic experience in an agent-based model, stochastics processes, data analytics, machine learning, and data mining. Tran Ngoc Thang received his Ph.D. in Applied Mathematics from Hanoi University of Science and Technology in 2016. Since 2009, he has been Lecturer at the School of Applied Mathematics and Informatics, Hanoi University of Science and Technology.  His research interests are in the area of optimization, artificial intelligence, data analytics, knowledge-based systems, soft computing, evolutionary computation, combinatorial optimization, multi-objective optimization, and stochastic optimization. Vijender Kumar Solanki is Associate Professor of Computer Science and Engineering at the CMR Institute of Technology (Autonomous), Hyderabad, TS, India. He has more than ten years of academic experience in network security, IoT, big data, smart city, and IT. Before his current role, he was associated with Apeejay Institute of Technology, Greater Noida, UP, KSRCE (Autonomous) Institution, Tamilnadu, India, and Institute of Technology and Science, Ghaziabad, UP, India. He is Member of ACM and Senior Member of IEEE. He has authored or co-authored more than 50 research articles that are published in various journals, books, and conference proceedings. He has edited or co-edited 14 books and conference proceedings in the area of soft computing.

Tab Content 6

Author Website:  

Customer Reviews

Recent Reviews

No review item found!

Add your own review!

Countries Available

All regions
Latest Reading Guide

MRG2025CC

 

Shopping Cart
Your cart is empty
Shopping cart
Mailing List