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3 books on AI for eCommerce [PDF]
Updated: May 10, 2024 | 23 |
Books on AI for eCommerce serve as indispensable guides for startups entering the world of AI-powered online retail. These resources offer a wealth of knowledge and insights into how artificial intelligence can transform the customer experience, boost sales, and streamline operations in the eCommerce industry. They delve into topics such as recommendation engines, personalization, chatbots, and predictive analytics, elucidating how these AI applications can help startups understand customer behavior, improve product recommendations, and enhance user interfaces. Moreover, these books often provide case studies and real-world examples, allowing startups to learn from successful eCommerce businesses and apply these strategies to their own operations.
1. Intelligent Processing Practices and Tools for E-Commerce Data, Information, and Knowledge
2021 by Honghao Gao, Jung Yoon Kim, Walayat Hussain, Muddesar Iqbal, Yucong Duan
This book delves into recent research and practical applications concerning intelligent processing practices and tools for handling e-commerce data, information, and knowledge. The authors initially elucidate how the evolution of intelligent data, information, and knowledge processing has found widespread utility in e-commerce scenarios. They subsequently demonstrate how this development introduces fresh opportunities and challenges in the realm of processing e-commerce-related data, information, and knowledge. Comprising contributions from both the academic and industrial sectors, the book is designed to showcase advancements in artificial intelligence techniques for the collection, processing, and mining of data, information, and knowledge in e-commerce contexts. It encompasses novel algorithms and methodologies, foundational theories and systems, as well as real-world e-commerce applications. Topics covered span AI applications in e-commerce, encompassing machine learning and deep learning, personalized service recommendations for e-commerce, modeling, description, and validation of data, information, and knowledge, and task scheduling and performance optimization in large-scale concurrent environments.
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2. 10 Ways to Make Money Online with AI
2019 by Jasper Caprese
"10 Ways to Generate Online Income with AI" is a thorough handbook that unveils strategies for harnessing the potential of artificial intelligence to establish and expand profitable online enterprises. This book delves into an array of avenues for generating online revenue through AI, spanning e-commerce, digital marketplaces, and the development and sale of AI-driven products and services.
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3. E-Commerce and Intelligent Methods
2013 by Javier Segovia, Piotr S. Szczepaniak, Marian Niedzwiedzinski
This book presents recent and significant advancements in the application of Intelligent Methods to the field of eCommerce, with a primary focus on Soft Computing Methods. These methods encompass a range of techniques, including fuzzy sets, rough sets, neural networks, evolutionary computations, probabilistic and evidential reasoning, multivalued logic, and related areas. eCommerce plays an integral role in our daily lives and is a central focus of research globally. The integration of AI into commerce has seen rapid growth alongside the increasing integration of computers and networks into various business aspects. This book serves as a comprehensive compilation of the latest contributions to the field, bringing together researchers' valuable insights and innovations that were previously scattered across various platforms, including conferences, workshops, journals, books, and technical reports. The objective is to establish a common framework that can serve as a foundation for future research, facilitate comparisons, and even support prototyping for direct industry applications. To achieve this, we have gathered contributions from accomplished authors with diverse backgrounds, representing esteemed universities and research centers, who have made noteworthy contributions to this field.
Download PDF
How to download PDF:
1. Install Google Books Downloader
2. Enter Book ID to the search box and press Enter
3. Click "Download Book" icon and select PDF*
* - note that for yellow books only preview pages are downloaded
1. Intelligent Processing Practices and Tools for E-Commerce Data, Information, and Knowledge
2021 by Honghao Gao, Jung Yoon Kim, Walayat Hussain, Muddesar Iqbal, Yucong Duan
This book delves into recent research and practical applications concerning intelligent processing practices and tools for handling e-commerce data, information, and knowledge. The authors initially elucidate how the evolution of intelligent data, information, and knowledge processing has found widespread utility in e-commerce scenarios. They subsequently demonstrate how this development introduces fresh opportunities and challenges in the realm of processing e-commerce-related data, information, and knowledge. Comprising contributions from both the academic and industrial sectors, the book is designed to showcase advancements in artificial intelligence techniques for the collection, processing, and mining of data, information, and knowledge in e-commerce contexts. It encompasses novel algorithms and methodologies, foundational theories and systems, as well as real-world e-commerce applications. Topics covered span AI applications in e-commerce, encompassing machine learning and deep learning, personalized service recommendations for e-commerce, modeling, description, and validation of data, information, and knowledge, and task scheduling and performance optimization in large-scale concurrent environments.
Download PDF
2. 10 Ways to Make Money Online with AI
2019 by Jasper Caprese
"10 Ways to Generate Online Income with AI" is a thorough handbook that unveils strategies for harnessing the potential of artificial intelligence to establish and expand profitable online enterprises. This book delves into an array of avenues for generating online revenue through AI, spanning e-commerce, digital marketplaces, and the development and sale of AI-driven products and services.
Download PDF
3. E-Commerce and Intelligent Methods
2013 by Javier Segovia, Piotr S. Szczepaniak, Marian Niedzwiedzinski
This book presents recent and significant advancements in the application of Intelligent Methods to the field of eCommerce, with a primary focus on Soft Computing Methods. These methods encompass a range of techniques, including fuzzy sets, rough sets, neural networks, evolutionary computations, probabilistic and evidential reasoning, multivalued logic, and related areas. eCommerce plays an integral role in our daily lives and is a central focus of research globally. The integration of AI into commerce has seen rapid growth alongside the increasing integration of computers and networks into various business aspects. This book serves as a comprehensive compilation of the latest contributions to the field, bringing together researchers' valuable insights and innovations that were previously scattered across various platforms, including conferences, workshops, journals, books, and technical reports. The objective is to establish a common framework that can serve as a foundation for future research, facilitate comparisons, and even support prototyping for direct industry applications. To achieve this, we have gathered contributions from accomplished authors with diverse backgrounds, representing esteemed universities and research centers, who have made noteworthy contributions to this field.
Download PDF
How to download PDF:
1. Install Google Books Downloader
2. Enter Book ID to the search box and press Enter
3. Click "Download Book" icon and select PDF*
* - note that for yellow books only preview pages are downloaded
