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Название: Intelligent Processing Practices and Tools for E-Commerce Data, Information, and Knowledge
Автор: Honghao Gao, Jung Yoon Kim, Walayat Hussain
Издательство: Springer
Год: 2022
Страниц: 124
Язык: английский
Формат: pdf (true)
Размер: 10.1 MB
This book discusses recent research and applications about intelligent processing practices and tools for e-commerce data, information and knowledge. The authors first explain how advances in intelligent processing of data, information and knowledge that has wildly been used in e-commerce applications. They then show how this brings new opportunities and challenges for processing e-commerce data, information and knowledge. The book, made up of contributions from both academia and industry, aims to present advances in Artificial Intelligence (AI) to collect, process, and mining Data, information and knowledge, such as new algorithms and techniques in the field, foundational theory and systems, as well as practical e-commerce applications. Some of the topics discussed include AI for e-commerce, such as Machine Learning (ML), Deep Learning (DL); personalized service recommendation to e-commerce; modeling, description, and verification for data, information and knowledge; and task scheduling and performance optimization for large-scale concurrency.
Автор: Honghao Gao, Jung Yoon Kim, Walayat Hussain
Издательство: Springer
Год: 2022
Страниц: 124
Язык: английский
Формат: pdf (true)
Размер: 10.1 MB
This book discusses recent research and applications about intelligent processing practices and tools for e-commerce data, information and knowledge. The authors first explain how advances in intelligent processing of data, information and knowledge that has wildly been used in e-commerce applications. They then show how this brings new opportunities and challenges for processing e-commerce data, information and knowledge. The book, made up of contributions from both academia and industry, aims to present advances in Artificial Intelligence (AI) to collect, process, and mining Data, information and knowledge, such as new algorithms and techniques in the field, foundational theory and systems, as well as practical e-commerce applications. Some of the topics discussed include AI for e-commerce, such as Machine Learning (ML), Deep Learning (DL); personalized service recommendation to e-commerce; modeling, description, and verification for data, information and knowledge; and task scheduling and performance optimization for large-scale concurrency.