Review Comment Analysis for E-commerce

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.
Key Features:

• From information usability, it first provides the definition of customer credibility. It is used to evaluate customer professional-ability
• It provides a fine granularity for information organization based on single products
• It is first tackled with content-based collaborative filtering for product recommendation.