A service recommended method based on extended FP-TREE

CORC > 北京大学 > 软件与微电子学院

	A service recommended method based on extended FP-TREE
	Mo, Tong ; Chu, Weijie ; Li, Weiping ; Wu, Zhonghai
刊名	huazhong keji daxue xuebao ziran kexue ban journal of huazhong university of science and technology natural science edition
	2013
英文摘要	In order to solve the sparsely and expansion problems of collaborative filtering, an improved method based on the extension of FP-TREE was proposed. States in context space was used to present context values, and service was recommended by mining association between states and service. Inverted index was involved into frequent item list to present states-states and service-service relations, and states-service was shown in index tree. Mapping mechanism from collaborative filtering matrix to extended FP-TREE was also discussed. The method could inherit compression filter and compress the matrix extremely. Simulation result shows that, compared with the traditional collaborative filtering method, the method has a higher efficiency.; EI; 0; SUPPL.2; 81-87; 41
语种	英语
内容类型	期刊论文
源URL	[http://ir.pku.edu.cn/handle/20.500.11897/325770]
专题	软件与微电子学院
推荐引用方式 GB/T 7714	Mo, Tong,Chu, Weijie,Li, Weiping,et al. A service recommended method based on extended FP-TREE[J]. huazhong keji daxue xuebao ziran kexue ban journal of huazhong university of science and technology natural science edition,2013.
APA	Mo, Tong,Chu, Weijie,Li, Weiping,&Wu, Zhonghai.(2013).A service recommended method based on extended FP-TREE.huazhong keji daxue xuebao ziran kexue ban journal of huazhong university of science and technology natural science edition.
MLA	Mo, Tong,et al."A service recommended method based on extended FP-TREE".huazhong keji daxue xuebao ziran kexue ban journal of huazhong university of science and technology natural science edition (2013).