Enriching one-class collaborative filtering with content information from social media

doi:10.1007/s00530-014-0392-y

	Enriching one-class collaborative filtering with content information from social media
	Yuan, Ting 1; Cheng, Jian1 ; Zhang, Xi 1; Liu, Qinshan 2; Lu, Hanqing1
发表期刊	MULTIMEDIA SYSTEMS
	2016-02-01
卷号	22 期号:1 页码:51-62
文章类型	Article
摘要	In recent years, recommender systems have become popular to handle the information overload problem of social media websites. The most widely used Collaborative Filtering methods make recommendations by mining users' rating history. However, users' behaviors in social media are usually implicit, where no ratings are available. This is a One-Class Collaborative Filtering (OCCF) problem with only positive examples. How to distinguish the negative examples from missing data is important for OCCF. Existing OCCF methods tackle this by the statistical properties of users' historical behavior; however, they ignored the rich content information in social media websites, which provide additional evidence for profiling users and items. In this paper, we propose to improve OCCF accuracy by exploiting the social media content information to find the potential negative examples from the missing user-item pairs. Specifically, we get a content topic feature for each user and item by probabilistic topic modeling and embed them into the Matrix Factorization model. Extensive experiments show that our algorithm can achieve better performance than the state-of-art methods.
关键词	One-class Collaborative Filtering Recommender System Topic Modeling Social Media
WOS标题词	Science & Technology ; Technology
DOI	10.1007/s00530-014-0392-y
关键词[WOS]	RECOMMENDER SYSTEMS
收录类别	SCI
语种	英语
WOS研究方向	Computer Science
WOS类目	Computer Science, Information Systems ; Computer Science, Theory & Methods
WOS记录号	WOS:000368828500006
引用统计	被引频次：11[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.ia.ac.cn/handle/173211/10672
专题	紫东太初大模型研究中心_图像与视频分析
作者单位	1.Chinese Acad Sci, Natl Lab Pattern Recognit, Inst Automat, Beijing 100190, Peoples R China 2.Nanjing Univ Informat Sci & Technol, CICE, Nanjing 210044, Jiangsu, Peoples R China
第一作者单位	模式识别国家重点实验室
推荐引用方式 GB/T 7714	Yuan, Ting,Cheng, Jian,Zhang, Xi,et al. Enriching one-class collaborative filtering with content information from social media[J]. MULTIMEDIA SYSTEMS,2016,22(1):51-62.
APA	Yuan, Ting,Cheng, Jian,Zhang, Xi,Liu, Qinshan,&Lu, Hanqing.(2016).Enriching one-class collaborative filtering with content information from social media.MULTIMEDIA SYSTEMS,22(1),51-62.
MLA	Yuan, Ting,et al."Enriching one-class collaborative filtering with content information from social media".MULTIMEDIA SYSTEMS 22.1(2016):51-62.

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