Personalized Recommendation Based on Similarity of Cloud Model

被引：0

作者：

Luo, Rong ^{[1
]}

Gong, Yuxi ^{[1
]}

机构：

[1] Qingdao Technol Univ, Inst Comp Engn, Qingdao, Peoples R China

来源：

2009 SECOND INTERNATIONAL SYMPOSIUM ON KNOWLEDGE ACQUISITION AND MODELING: KAM 2009, VOL 3 | 2009年

关键词：

personalized recommendation; similarity; statistics of item; cloud model;

D O I：

10.1109/KAM.2009.190

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

Analyzing the present situation of personalized recommendation system. Point out the limitation of similarity based on voting, and the disadvantage of the strict matching in calculating similarity. Put forward a new personalized recommendation method based on the statistics of item. Adopt the cloud model to calculate the similarity instead of traditional strict matching of cosine method. The experiments show that the system has better performance.

引用

页码：356 / 359

页数：4

共 14 条

[1] [Anonymous], P 3 IEEE INT WORKSH
[2] [Anonymous], 2008, ARTIFICIAL INTELLIGE
[3] [Anonymous], 1996, P 19 ANN INT ACM SIG, DOI DOI 10.1145/243199.243202
[4] CALLAN JP, 1995, P 18 ANN INT ACM SIG, P21
[5] Deng Ai-Lin, 2003, Journal of Software, V14, P1621
[6] Li D., 2005, ARTIF INTELL, P171
[7] Li De-Yi, 2004, Journal of Software, V15, P1583
[8] [李德毅 Li Deyi], 2004, [中国工程科学, Engineering science], V6, P28
[9] STEFAN K, 2006, LECT NOTES COMPUTER, V2423, P376
[10] WANG SX, 2009, J SOFTWARE

← 1 2 →