Review Comment Analysis for E-commerce by Rong Zhang

Review Comment Analysis for E-commerce

byRong Zhang, Aoying Zhou, Wenzhe Yu;Yifan Gao;Pingfu Chao

Kobo ebook | June 27, 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.
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.
Title:Review Comment Analysis for E-commerceFormat:Kobo ebookPublished:June 27, 2016Publisher:World Scientific Publishing CompanyLanguage:English

The following ISBNs are associated with this title:

ISBN - 10:9813100079

ISBN - 13:9789813100077

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