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	Loc2Vec-Based Cluster-Level Transition Behavior Mining for Successive POI Recommendation
	Wen, Yan; Zhang, Jiansong; Zeng, Qingtian; Chen, Xin; Zhang, Feng
刊名	IEEE ACCESS
	2019
卷号	7页码:109311-109319
关键词	Recommender system POI recommendation successive POI recommendation Markov chain
DOI	10.1109/ACCESS.2019.2931075
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/4553238
专题	山东大学
作者单位	1.Shandong Univ Sci & Technol, Coll Comp Sci & Engn, Qingdao 266590, Shandong, Peoples R China. 2.[
推荐引用方式 GB/T 7714	Wen, Yan,Zhang, Jiansong,Zeng, Qingtian,et al. Loc2Vec-Based Cluster-Level Transition Behavior Mining for Successive POI Recommendation[J]. IEEE ACCESS,2019,7:109311-109319.
APA	Wen, Yan,Zhang, Jiansong,Zeng, Qingtian,Chen, Xin,&Zhang, Feng.(2019).Loc2Vec-Based Cluster-Level Transition Behavior Mining for Successive POI Recommendation.IEEE ACCESS,7,109311-109319.
MLA	Wen, Yan,et al."Loc2Vec-Based Cluster-Level Transition Behavior Mining for Successive POI Recommendation".IEEE ACCESS 7(2019):109311-109319.

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