Review Comment Analysis for E-commerce
Nonfiction, Computers, Internet, Electronic Commerce, Database Management, General Computing
| Author: | Rong Zhang, Aoying Zhou, Wenzhe Yu;Yifan Gao;Pingfu Chao | ISBN: | 9789813100077 |
| Publisher: | World Scientific Publishing Company | Publication: | June 27, 2016 |
| Imprint: | WSPC | Language: | English |
| Author: | Rong Zhang, Aoying Zhou, Wenzhe Yu;Yifan Gao;Pingfu Chao |
| ISBN: | 9789813100077 |
| Publisher: | World Scientific Publishing Company |
| Publication: | June 27, 2016 |
| Imprint: | WSPC |
| Language: | English |
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.
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.
