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	Personalized recommendation based on customer preference mining and sentiment assessment from a Chinese e-commerce website
	Jing, Nan[1]; Jiang, Tao[2]; Du, Juan[3]; Sugumaran, Vijayan[4]
刊名	ELECTRONIC COMMERCE RESEARCH
	2018
卷号	18页码:159-179
关键词	Online customer reviews (OCRs) Collaborative filtering Sentiment assessment Personalized recommendation
ISSN号	1389-5753
URL标识	查看原文
内容类型	期刊论文
URI标识	http://www.corc.org.cn/handle/1471x/2180565
专题	上海大学
作者单位	1.[1]Shanghai Univ, SHU UTS SILC Business Sch, Dept Informat Management, Shanghai 201800, Peoples R China. 2.[2]Shanghai Univ, SHU UTS SILC Business Sch, Dept Informat Management, Shanghai 201800, Peoples R China. 3.[3]Shanghai Univ, SHU UTS SILC Business Sch, Dept Informat Management, Shanghai 201800, Peoples R China. 4.Shanghai Univ, Shanghai 200072, Peoples R China.,Shanghai Univ, Shanghai Urban Construct Grp Corp, Res Ctr Bldg Ind, Shanghai 200072, Peoples R China. 5.[4]Oakland Univ, Sch Business Adm, Dept Decis & Informat Sci, Rochester, MI 48309 USA.
推荐引用方式 GB/T 7714	Jing, Nan[1],Jiang, Tao[2],Du, Juan[3],et al. Personalized recommendation based on customer preference mining and sentiment assessment from a Chinese e-commerce website[J]. ELECTRONIC COMMERCE RESEARCH,2018,18:159-179.
APA	Jing, Nan[1],Jiang, Tao[2],Du, Juan[3],&Sugumaran, Vijayan[4].(2018).Personalized recommendation based on customer preference mining and sentiment assessment from a Chinese e-commerce website.ELECTRONIC COMMERCE RESEARCH,18,159-179.
MLA	Jing, Nan[1],et al."Personalized recommendation based on customer preference mining and sentiment assessment from a Chinese e-commerce website".ELECTRONIC COMMERCE RESEARCH 18(2018):159-179.

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