E-commerce Personalization: Theory, Methods, and Applications

Author: Yu Li
Publisher:
Publish Date: 2007-01-01
Features: This book comprehensively and systematically discusses the theory, technology, methods, and typical applications of e-commerce personalization. The book is divided into 12 chapters. Chapter 1 primarily introduces the emergence and development of e-commerce personalization, its theoretical foundation, related technologies, and the latest development trends. Chapters 2-9 mainly elaborate on the relevant theories, methods, and technologies of e-commerce personalized recommendations, including the analysis of personalized services, e-commerce recommendation systems, user modeling techniques, personalized recommendation methods, association rule recommendations, intelligent information agents, and personalized eCRM. Chapters 10-12 respectively introduce the applications of e-commerce personalization in electronic supermarkets, digital libraries, and the securities sector. This book can serve as a reference for researchers and developers in related fields such as e-commerce, information systems, databases, and data mining. It can also be used as a reference book for graduate students and senior undergraduate students in e-commerce, information management and information systems, computer applications, management science and engineering, and systems engineering at universities.