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.

Dettagli sul prodotto

• Autori: Zhou Aoying, Rong Zhang, Aoying Zhou, Wenzhe Yu, Yifan Gao, Pingfu Chao, Aoying Zhou Wenzhe Yu Rong Zhang, Aoying Zhou Wenzhe Yu Yifa Rong Zhang, Zhang Rong, Yu Wenzhe
• Editore: World Scientific Publishing
• Contenuto: Libro
• Forma del prodotto: Tascabile
• Data pubblicazione: 29.08.2016
• Categoria: Scienze naturali, medicina, informatica, tecnica > Informatica, EDP > Informatica; Scienze sociali, diritto, economia > Economia > Pubblicità, marketing; Guide e manuali
• EAN: 9789813100053
• ISBN: 978-981-3100-05-3
• Serie: East China Normal University S > 5; East China Normal University Scientific Reports > 5
• Categorie: Data Mining, COMPUTERS / Information Technology, Sales and marketing, Internet guides and online services, Computers / Electronic Commerce, COMPUTERS / Database Administration & Management, E-commerce, Recommendation, Review Analysis, Review Mining