Availability: In Stock

Review Comment Analysis for E-commerce

SKU: 9789813100077

Original price was: $56.00.Current price is: $24.99.

Access Review Comment Analysis for E-commerce Now. Discount up to 90%

Additional information

Full Title

Review Comment Analysis for E-commerce

Author(s)

Rong Zhang, Aoying Zhou, Wenzhe Yu, Yifan Gao, Pingfu Chao

Edition
ISBN

9789813100077, 9789813100046, 9789813100053, 9789813100060

Publisher

World Scientific

Format

PDF and EPUB

Description

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.

Availability: In Stock

Review Comment Analysis For E-commerce

SKU: 9789813100060

Original price was: $56.00.Current price is: $24.99.

Access Review Comment Analysis For E-commerce Now. Discount up to 90%

Additional information

Full Title

Review Comment Analysis For E-commerce

Author(s)

Zhang Rong

Edition
ISBN

9789813100060, 9789813100046

Publisher

World Scientific

Format

PDF and EPUB

Description

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.