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Review comment analysis for e-commer...
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Zhang, Rong.
Review comment analysis for e-commerce[electronic resource] /
紀錄類型:
書目-電子資源 : Monograph/item
杜威分類號:
658.8/72
書名/作者:
Review comment analysis for e-commerce/ Rong Zhang ...[et al.].
其他作者:
Zhang, Rong.
出版者:
Singapore : : World Scienfitic Publishing,, c2016.
面頁冊數:
1 online resource (xviii, 154 p.) : : ill.
附註:
Title from PDF file title page (viewed July 23, 2016).
標題:
Electronic commerce.
標題:
Electronic books.
ISBN:
9789813100060 (electronic bk.)
書目註:
Includes bibliographical references (p. 143-151) and index.
摘要、提要註:
"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."--
電子資源:
http://www.worldscientific.com/worldscibooks/10.1142/9985#t=toc
Review comment analysis for e-commerce[electronic resource] /
Review comment analysis for e-commerce
[electronic resource] /Rong Zhang ...[et al.]. - 1st ed. - Singapore :World Scienfitic Publishing,c2016. - 1 online resource (xviii, 154 p.) :ill. - East China Normal University scientific reports ;Vol. 5.
Title from PDF file title page (viewed July 23, 2016).
Includes bibliographical references (p. 143-151) and index.
"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."--
Electronic reproduction.
Singapore :
World Scientific,
[2016].
Mode of access: World Wide Web.
ISBN: 9789813100060 (electronic bk.)
LCCN: 2016013142Subjects--Topical Terms:
181398
Electronic commerce.
LC Class. No.: HF5548.32 / .R48 2016
Dewey Class. No.: 658.8/72
Review comment analysis for e-commerce[electronic resource] /
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http://www.worldscientific.com/worldscibooks/10.1142/9985#t=toc
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