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

This book discusses recent research and applications about intelligent processing practices and tools for e-commerce data, information, and knowledge. It explains how advances in intelligent processing bring new opportunities and challenges for processing e-commerce data, information, and knowledge, and aims to present advances in artificial intelligence to collect, process, and mine data, information, and knowledge.

Format: Hardback
Length: 118 pages
Publication date: 30 November 2021
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 intelligent processing, covering key concepts, algorithms, and techniques. It introduces readers to the fundamental principles that drive the field and highlights the importance of data, information, and knowledge in modern e-commerce.

The second chapter delves into machine learning and deep learning, two powerful tools that have revolutionized the field of AI. It explores their applications in e-commerce, including recommendation systems, image recognition, and natural language processing. The authors discuss the latest algorithms, techniques, and challenges associated with these technologies, providing practical insights and examples.

The third chapter focuses on personalized service recommendation for e-commerce. It discusses the use of AI algorithms to analyze customer data and provide personalized recommendations for products, services, and content. The authors explore various techniques, such as collaborative filtering, content-based filtering, and user-based modeling, and discuss their effectiveness in improving customer engagement and loyalty.

The fourth chapter explores modeling, description, and verification of data, information, and knowledge. It discusses the use of AI techniques to represent and understand complex data structures, such as graphs, networks, and databases. The authors explore the challenges of data integrity, accuracy, and consistency, and introduce methods for modeling, describing, and verifying data.

The fifth chapter explores task scheduling and performance optimization for large-scale concurrency in e-commerce. It discusses the use of AI algorithms to optimize task execution and resource allocation in e-commerce systems, which can handle high volumes of transactions and data. The authors discuss techniques, such as task partitioning, workload balancing, and resource allocation, and discuss their effectiveness in improving system performance and scalability.

The final chapter summarizes the key findings and implications of the book. It highlights the importance of intelligent processing in e-commerce and discusses the future directions. The authors provide recommendations for researchers, practitioners, and policymakers interested in advancing the field of intelligent processing in e-commerce.

In conclusion, this comprehensive book offers a valuable resource for researchers, practitioners, and policymakers interested in advancing the field of intelligent processing in e-commerce. It provides a comprehensive overview of the latest research and practical applications, covering a wide range of topics, from machine learning and deep learning to personalized service recommendation and task scheduling and performance optimization. The book is written in a clear and accessible style, making it suitable for both technical and non-technical audiences. By presenting cutting-edge advances in artificial intelligence, the book aims to inspire and guide future research and development in this rapidly evolving field.

Weight: 371g
Dimension: 235 x 155 (mm)
ISBN-13: 9783030783020
Edition number: 1st ed. 2022