userheterogeneityandindividualizedrecommender

	userheterogeneityandindividualizedrecommender
	Wang Qingxian 2; Zhang Junjie 1; Shi Xiaoyu1 ; Shang Mingsheng1
刊名	chinesephysicsletters
	2017
卷号	34 期号:6
ISSN号	0256-307X
英文摘要	Previous works on personalized recommendation mostly emphasize modeling peoples' diversity in potential favorites into a uniform recommender. However, these recommenders always ignore the heterogeneity of users at an individual level. In this study, we propose an individualized recommender that can satisfy every user with a customized parameter. Experimental results on four benchmark datasets demonstrate that the individualized recommender can significantly improve the accuracy of recommendation. The work highlights the importance of the user heterogeneity in recommender design.
资助项目	[National Natural Science Foundation of China] ; [Youth Innovation Promotion Association of Chinese Academy of Sciences]
语种	英语
内容类型	期刊论文
源URL	[http://119.78.100.138/handle/2HOD01W0/9007]
专题	中国科学院重庆绿色智能技术研究院
作者单位	1.中国科学院重庆绿色智能技术研究院 2.电子科技大学
推荐引用方式 GB/T 7714	Wang Qingxian,Zhang Junjie,Shi Xiaoyu,et al. userheterogeneityandindividualizedrecommender[J]. chinesephysicsletters,2017,34(6).
APA	Wang Qingxian,Zhang Junjie,Shi Xiaoyu,&Shang Mingsheng.(2017).userheterogeneityandindividualizedrecommender.chinesephysicsletters,34(6).
MLA	Wang Qingxian,et al."userheterogeneityandindividualizedrecommender".chinesephysicsletters 34.6(2017).