Intelligent Processing Practices and Tools for E-Commerce Data, Information, and Knowledge

The book discusses recent research and applications about intelligent processing practices and tools for e-commerce data, information, and knowledge, presenting advances in artificial intelligence to collect, process, and mine data, information, and knowledge, such as machine learning, deep learning, personalized service recommendation, modeling, description, and verification, and task scheduling and performance optimization.

Format: Paperback / softback
Length: 118 pages
Publication date: 30 November 2022
Publisher: Springer Nature Switzerland AG

This comprehensive book delves into the latest research and practical applications related to intelligent processing practices and tools for e-commerce data, information, and knowledge. The authors begin by providing an insightful overview of the advancements in intelligent processing of data, information, and knowledge, which have gained widespread popularity in e-commerce applications. They then explore the exciting opportunities and complex challenges that arise from these developments. Comprising contributions from esteemed scholars and industry experts, the book aims to showcase cutting-edge advances in artificial intelligence for the collection, processing, and mining of data, information, and knowledge. It encompasses a wide range of topics, including AI for e-commerce, such as machine learning, deep learning; personalized service recommendation for e-commerce; modeling, description, and verification of data, information, and knowledge; and task scheduling and performance optimization for large-scale concurrency.

The book is organized into several chapters, each dedicated to exploring specific aspects of intelligent processing in e-commerce. The first chapter provides a foundational understanding of the principles and techniques involved in intelligent processing, including machine learning, natural language processing, and data mining. It introduces key algorithms and frameworks that are used to extract valuable insights from e-commerce data.

The second chapter focuses on personalized service recommendation in e-commerce, where the authors discuss the use of AI algorithms to analyze customer behavior and preferences to provide personalized product recommendations. They explore techniques such as collaborative filtering, content-based filtering, and user-based filtering, and discuss their advantages and limitations.

The third chapter explores modeling, description, and verification of data, information, and knowledge in e-commerce. It discusses the importance of accurate and reliable data representation for effective decision-making and introduces techniques such as data modeling, data visualization, and knowledge representation. The authors also discuss the challenges of managing and maintaining large-scale data repositories and propose solutions for data integration and management.

The fourth chapter focuses on task scheduling and performance optimization for large-scale concurrency in e-commerce. It discusses the challenges of managing and scheduling multiple tasks in real-time and proposes algorithms and techniques for task prioritization, resource allocation, and workload balancing. The authors also discuss the use of cloud computing and distributed computing platforms to facilitate efficient task execution.

The fifth chapter explores practical e-commerce applications of intelligent processing techniques. It showcases real-world case studies and examples of how e-commerce organizations have leveraged AI to improve their operations, enhance customer experiences, and drive business growth. The examples cover various areas such as fraud detection, inventory management, supply chain optimization, and customer support.

The final chapter provides an outlook on the future of intelligent processing in e-commerce. It discusses emerging trends, such as the integration of artificial intelligence with other technologies such as blockchain and the Internet of Things, and the potential applications of intelligent processing in emerging industries such as healthcare and finance. The authors also provide recommendations for researchers, practitioners, and policymakers to navigate the evolving landscape of intelligent processing in e-commerce.

In conclusion, this book offers a comprehensive and up-to-date exploration of intelligent processing practices and tools for e-commerce data, information, and knowledge. It provides valuable insights for researchers, practitioners, and policymakers interested in advancing the field of e-commerce and leveraging the power of AI to drive innovation and growth.

Weight: 215g
Dimension: 235 x 155 (mm)
ISBN-13: 9783030783051
Edition number: 1st ed. 2022