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	Interpreting Video Recommendation Mechanisms by Mining View Count Traces
	Siu-WaiHo; Dah-MingChiu; JiqiangWu; TerenceH.Chan; YipengZhou; DiWu
刊名	IEEE Transactions on Multimedia
	2018
卷号	Vol.20 No.8
关键词	Diffusion processes Sociology Statistics Electronic mail Australia Analytical models YouTube Video information diffusion word-of-mouth recommendation direct recommendation
ISSN号	1520-9210;1941-0077
URL标识	查看原文
公开日期	[db:dc_date_available]
内容类型	期刊论文
URI标识	http://www.corc.org.cn/handle/1471x/5349614
专题	上海电子信息职业技术学院
作者单位	1.Department of Information Engineering, The Chinese University of Hong Kong, Hong Kong 2.School of Data and Computer Science, Sun Yat-sen University, Guangzhou, China 3.Institute for Telecommunications Research, University of South Australia, Adelaide, Australia 4.TCL Corporate Research Hong Kong Science Park, Hong Kong
推荐引用方式 GB/T 7714	Siu-WaiHo,Dah-MingChiu,JiqiangWu,et al. Interpreting Video Recommendation Mechanisms by Mining View Count Traces[J]. IEEE Transactions on Multimedia,2018,Vol.20 No.8.
APA	Siu-WaiHo,Dah-MingChiu,JiqiangWu,TerenceH.Chan,YipengZhou,&DiWu.(2018).Interpreting Video Recommendation Mechanisms by Mining View Count Traces.IEEE Transactions on Multimedia,Vol.20 No.8.
MLA	Siu-WaiHo,et al."Interpreting Video Recommendation Mechanisms by Mining View Count Traces".IEEE Transactions on Multimedia Vol.20 No.8(2018).

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