QQ客服 官方微博 反馈留言

	GIST: A generative model with individual and subgroup-based topics for group recommendationSCI被引量：SCI原文链接
	Ji, Ke[1,2]; Chen, Zhenxiang[1,2]; Sun, Runyuan[1,2]; Ma, Kun[1,2]; Yuan, Zhongjie[3]; Xu, Guandong[4]
	2018
卷号	94页码:81-93
URL标识	查看原文
WOS记录号	WOS:000418218800008
内容类型	期刊论文
URI标识	http://www.corc.org.cn/handle/1471x/5793005
专题	山东师范大学
作者单位	1.[1]Univ Jinan, Sch Informat Sci & Engn, Jinan 250022, Shandong, Peoples R China 2.[2]Univ Jinan, Shandong Prov Key Lab Network Based Intelligent C, Jinan 250022, Shandong, Peoples R China 3.[3]Shandong Normal Univ, Jinan 250014, Shandong, Peoples R China 4.[4]Univ Technol Sydney, Adv Analyt Inst, Data Sci & Machine Intelligence Lab, Sydney, NSW, Australia
推荐引用方式 GB/T 7714	Ji, Ke[1,2],Chen, Zhenxiang[1,2],Sun, Runyuan[1,2],等. GIST: A generative model with individual and subgroup-based topics for group recommendationSCI被引量：SCI原文链接[J],2018,94:81-93.
APA	Ji, Ke[1,2],Chen, Zhenxiang[1,2],Sun, Runyuan[1,2],Ma, Kun[1,2],Yuan, Zhongjie[3],&Xu, Guandong[4].(2018).GIST: A generative model with individual and subgroup-based topics for group recommendationSCI被引量：SCI原文链接.,94,81-93.
MLA	Ji, Ke[1,2],et al."GIST: A generative model with individual and subgroup-based topics for group recommendationSCI被引量：SCI原文链接".94(2018):81-93.

个性服务

查看访问统计

相关权益政策

暂无数据

收藏/分享

除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。