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Review comment analysis for e-commerce

Zhang, Rong.

Review comment analysis for e-commerce

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Review comment analysis for e-commerceRong 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.
電子資源:	http://www.worldscientific.com/worldscibooks/10.1142/9985#t=toc
ISBN:	9789813100060 (electronic bk.)

Review comment analysis for e-commerce
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:

189326
Electronic commerce.

LC Class. No.: HF5548.32 / .R48 2016

Dewey Class. No.: 658.8/72

Review comment analysis for e-commerce
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500 $a Title from PDF file title page (viewed July 23, 2016).
504 $a Includes bibliographical references (p. 143-151) and index.
520 $a "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."-- $c Provided by publisher.
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