Fuzzy logic based similarity measure for multimedia contents recommendation

doi:10.1007/s11042-017-5260-2

CASIA OpenIR > 离退休人员

	Fuzzy logic based similarity measure for multimedia contents recommendation
	Kant, Surya 1; Mahara, Tripti 1; Jain, Vinay Kumar 2; Jain, Deepak Kumar 3
发表期刊	MULTIMEDIA TOOLS AND APPLICATIONS
ISSN	1380-7501
	2019-02-01
卷号	78 期号:4 页码:4107-4130
通讯作者	Kant, Surya(suryak111@gmail.com)
摘要	Collaborative filtering is one of the mainstream approaches to provide recommendations in various online environments such as Ecommerce. Although this is a popular method for service recommendation, it still suffers from sparsity issue where only a small number of rating records are available for some new items or users in the system. Consequently, the accuracy of rate prediction is often compromised. Unlike the conventional collaborative filtering methods that directly compute the similarity between users, this paper presents a fuzzy logic based approach to refine the similarity obtained using traditional approaches like Pearson correlation, Cosine, Adjusted Cosine etc. Experiments were conducted on the two popular benchmark datasets and it shows that the proposed method obtains better prediction accuracy as compare to other traditional similarity measures.
关键词	Collaborative filtering Recommendation system Multimedia contents Fuzzy logic Similarity measure Movie recommendation
DOI	10.1007/s11042-017-5260-2
关键词[WOS]	COLLABORATIVE FILTERING FRAMEWORK ; USER SIMILARITY ; HU-FCF ; SYSTEM ; ALLEVIATE ; ACCURACY ; ITEM
收录类别	SCI
语种	英语
WOS研究方向	Computer Science ; Engineering
WOS类目	Computer Science, Information Systems ; Computer Science, Software Engineering ; Computer Science, Theory & Methods ; Engineering, Electrical & Electronic
WOS记录号	WOS:000463917200013
出版者	SPRINGER
引用统计	被引频次：6[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/173211/24945
专题	离退休人员
通讯作者	Kant, Surya
作者单位	1.Indian Inst Technol, Dept Polymer & Proc Engn, Roorkee 247667, Uttar Pradesh, India 2.JUET, Dept Comp Sci & Engn, Raghogarh, MP, India 3.Chinese Acad Sci, Inst Automat, Beijing, Peoples R China
推荐引用方式 GB/T 7714	Kant, Surya,Mahara, Tripti,Jain, Vinay Kumar,et al. Fuzzy logic based similarity measure for multimedia contents recommendation[J]. MULTIMEDIA TOOLS AND APPLICATIONS,2019,78(4):4107-4130.
APA	Kant, Surya,Mahara, Tripti,Jain, Vinay Kumar,&Jain, Deepak Kumar.(2019).Fuzzy logic based similarity measure for multimedia contents recommendation.MULTIMEDIA TOOLS AND APPLICATIONS,78(4),4107-4130.
MLA	Kant, Surya,et al."Fuzzy logic based similarity measure for multimedia contents recommendation".MULTIMEDIA TOOLS AND APPLICATIONS 78.4(2019):4107-4130.