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Review Comment Analysis for E-commerce : East China Normal University Scientific Reports : Book 5 - Rong Zhang

Review Comment Analysis for E-commerce

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

eText | 27 June 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.

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.
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Non-FictionComputing & I.T.DatabasesData MiningDigital Lifestyle & Online World: Consumer & User GuidesInternet Guides & Online ServicesComputer Science

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Hardcover

Published: 27th June 2016

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