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New online personalized recommendation approach based on the perceived value of consumer characteristics

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成果类型:
期刊论文
作者:
Wang, Meng-Xian;Wang, Jian-Qiang*;Li, Lin
通讯作者:
Wang, Jian-Qiang
作者机构:
[Wang, Meng-Xian; Wang, Jian-Qiang] Cent S Univ, Sch Business, Changsha 410083, Hunan, Peoples R China.
[Wang, Meng-Xian] Hunan City Univ, Coll Management, Yiyang, Peoples R China.
[Li, Lin] Hunan Univ, Sch Business, Changsha, Hunan, Peoples R China.
通讯机构:
[Wang, Jian-Qiang] C
Cent S Univ, Sch Business, Changsha 410083, Hunan, Peoples R China.
语种:
英文
关键词:
Consumer heterogeneity;cloud model;cluster method;perceived value;unbalanced linguistic term set
期刊:
JOURNAL OF INTELLIGENT & FUZZY SYSTEMS
ISSN:
1064-1246
年:
2017
卷:
33
期:
3
页码:
1953-1968
基金类别:
National Natural Science Foundation of ChinaNational Natural Science Foundation of China (NSFC) [71571193]
机构署名:
本校为其他机构
院系归属:
管理学院
摘要:
WEB 2.0 facilitates the bidirectional communication capabilities of online review, causing the personalization and asymmetry of online review. Despite the problem of online personalized recommendation system, the influence of consumer characteristics on consumer repurchase intention is insufficiently examined in the extant literature. To address this issue, this study proposes a new online personalized recommendation approach based on the perceived value of consumer characteristics. Two aspects of the proposed framework are addressed. The first aspect is the linguistic information transformati...

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