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Identifying diverse reviews about products
Zou, Haitao1; Gong, Zhiguo2; Hu, Weishu3
2017-03
Source PublicationWORLD WIDE WEB-INTERNET AND WEB INFORMATION SYSTEMS
ISSN1386-145X
Volume20Issue:2Pages:351-369
Abstract

The vast body of reviews for individual items makes it difficult for users to extract useful information. And the opinions expressed by these users can be easily influenced through the communication services provided by the E-Commerce systems. A number of works are proposed for information extraction from a large review corpora, and these techniques may release users from the tiresome task of reading reviews. However, such extracted summaries are lack of immediacy, and could not keep the reviews' narrative structures. Aiming at enhancing the diversity of reviews and eliminating the above methods' defects, we propose a local community based algorithm to group reviewers and recommend the original reviews to users. Our method utilizes similarity-based sparsification techniques to identify the edge types that connected two nodes to determine these two nodes are in the same community or not. Since such identification procedure only evolves the neighbors of the target nodes, it can be set on the client side, and can be accomplished efficiently. We conduct comprehensive experiments to demonstrate the accuracy of our algorithm, and provide the discussions and explanations about the phenomena appeared in the experimental results.

KeywordCommunity Detection Review Analysis Social Network
DOI10.1007/s11280-016-0391-3
URLView the original
Indexed BySCI
Language英语
WOS Research AreaComputer Science
WOS SubjectComputer Science, Information Systems ; Computer Science, Software Engineering
WOS IDWOS:000394274700009
PublisherSPRINGER
The Source to ArticleWOS
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Document TypeJournal article
专题DEPARTMENT OF COMPUTER AND INFORMATION SCIENCE
Affiliation1.Jiangsu Univ Sci & Technol, Sch Comp Sci & Engn, Zhenjiang, Peoples R China
2.Univ Macau, Fac Sci & Technol, Dept Comp & Informat Sci, Macau, Peoples R China
3.Jiangnan Univ, Wuxi, Peoples R China
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GB/T 7714
Zou, Haitao,Gong, Zhiguo,Hu, Weishu. Identifying diverse reviews about products[J]. WORLD WIDE WEB-INTERNET AND WEB INFORMATION SYSTEMS,2017,20(2):351-369.
APA Zou, Haitao,Gong, Zhiguo,&Hu, Weishu.(2017).Identifying diverse reviews about products.WORLD WIDE WEB-INTERNET AND WEB INFORMATION SYSTEMS,20(2),351-369.
MLA Zou, Haitao,et al."Identifying diverse reviews about products".WORLD WIDE WEB-INTERNET AND WEB INFORMATION SYSTEMS 20.2(2017):351-369.
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