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	Utilizing multi-source data in popularity prediction for shop-type recommendation
	Mao, Xiaoxin; Zhao, Xi; Lin, Jun; Herrera-Viedma, Enrique
刊名	Knowledge-Based Systems
	2019
卷号	165页码:253-267
关键词	Collaborative filtering methods Heterogeneous information Multi-source informations Multisource data Popularity predictions Recommendation methods Shop-type recommendation Similarity measurements
ISSN号	0950-7051
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/2828917
专题	西安交通大学
推荐引用方式 GB/T 7714	Mao, Xiaoxin,Zhao, Xi,Lin, Jun,et al. Utilizing multi-source data in popularity prediction for shop-type recommendation[J]. Knowledge-Based Systems,2019,165:253-267.
APA	Mao, Xiaoxin,Zhao, Xi,Lin, Jun,&Herrera-Viedma, Enrique.(2019).Utilizing multi-source data in popularity prediction for shop-type recommendation.Knowledge-Based Systems,165,253-267.
MLA	Mao, Xiaoxin,et al."Utilizing multi-source data in popularity prediction for shop-type recommendation".Knowledge-Based Systems 165(2019):253-267.

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