This book examines the techniques and applications involved in the Web Mining, Web Personalization and Recommendation and Web Community Analysis domains, including a detailed presentation of the principles, developed algorithms, and systems of the research in these areas. The applications of web mining, and the issue of how to incorporate web mining into web personalization and recommendation systems are also reviewed. Additionally, the volume explores web community mining and analysis to find the structural, organizational and temporal developments of web communities and reveal the societal sense of individuals or communities.

The volume will benefit both academic and industry communities interested in the techniques and applications of web search, web data management, web mining and web knowledge discovery, as well as web community and social network analysis.

Systematically discusses the principles, algorithms, prototypes of the addressed approaches engaged in the domains of Web mining, Web community and social networks Emphasizes the emerging cross-disciplines of these research areas Highlights the promising Webbased applications, such as Web recommendation and personalization and Web social community analysis on the Web Surveys the related work in these domains and outlines several open research problems Includes supplementary material: sn.pub/extras

Inhalt

Part I Foundations: Introduction.- Theoretical Backgrounds.- Algorithms and Techniques.- Part II Web Mining Techniques and Applications: Web content mining.- Web Linkage Analysis.- Web Usage Mining.- Part III Web Community and Social Network Analysis: Techniques and Applications: Web Community Mining for Web Recommendation.- Social Network Analysis and Applications.- Conclusion.- References.- Index.