This book presents the recent achievements on the processing of representative user generated content (UGC) on E-commerce websites. This large size of UGC is valuable information for data mining to help customer/object profiling. It provides a comprehensive overview on the concept of customer credibility, object-oriented review summarization technology and content-based collaborative filtering algorithm. It covers a feedback mechanism which is designed to discover customer credibility, which is used to define the professional degree of review content; product-oriented review summarization for restaurants or trip arrangements, and introduced content-based collaborative filtering for product recommendation.
Contents:- Introduction
- Credibility Learning
- Entity Resolution
- Review Selection
- Review Summarization
- Recommendation
- Conclusion
Readership: Graduate students, academia and practitioners in the field of database, information science as well as e-commerce.
