CASIA OpenIR  > 模式识别国家重点实验室  > 图像与视频分析
Enriching one-class collaborative filtering with content information from social media
Yuan, Ting1; Cheng, Jian1; Zhang, Xi1; Liu, Qinshan2; Lu, Hanqing1
Source PublicationMULTIMEDIA SYSTEMS
2016-02-01
Volume22Issue:1Pages:51-62
SubtypeArticle
AbstractIn 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.
KeywordOne-class Collaborative Filtering Recommender System Topic Modeling Social Media
WOS HeadingsScience & Technology ; Technology
DOI10.1007/s00530-014-0392-y
WOS KeywordRECOMMENDER SYSTEMS
Indexed BySCI
Language英语
WOS Research AreaComputer Science
WOS SubjectComputer Science, Information Systems ; Computer Science, Theory & Methods
WOS IDWOS:000368828500006
Citation statistics
Cited Times:5[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/10672
Collection模式识别国家重点实验室_图像与视频分析
Affiliation1.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
Recommended Citation
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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