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Review Comment Analysis For E-Commerce eBook

by Zhang Rong Zhang, Zhou Aoying Zhou, Chao Pingfu Chao, Gao Yifan Gao e Yu Wenzhe Yu
language: english
Publisher: WORLD SCIENTIFIC PUBLISHING COMPANY, June of 2016 ‧
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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.

Review Comment Analysis For E-Commerce

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

Property Description
ISBN: 9789813100077
Publisher: WORLD SCIENTIFIC PUBLISHING COMPANY
Release Date: June of 2016
Language: English
Pages: 172
Format: eBook
File Format and Compatibility:
Collection: East China Normal University Scientific Reports
Categories: eBooks in English > Computing > Database
EAN: 9789813100077
Acessibilidade: Ver características de acessibilidade indicadas pelo editor