A fuzzy clustering method of construction of ontology-based user profiles

被引：13
|
作者：
Han, Lixin [1 ,2 ,3 ]
Chen, Guihai [2 ]
机构：
[1] Hohai Univ, Coll Comp & Informat Engn, Nanjing, Peoples R China
[2] Nanjing Univ, State Key Lab Novel Software Technol, Nanjing 210008, Peoples R China
[3] Nanjing Univ, Dept Math, Nanjing 210008, Peoples R China
来源：
ADVANCES IN ENGINEERING SOFTWARE | 2009年 / 40卷 / 07期
基金：
中国国家自然科学基金;
关键词：
Fuzzy clustering; User profile; Optimization;
D O I：
10.1016/j.advengsoft.2008.10.006
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
With the rapid development of personalized information retrieval, user profile plays an important role. In this paper, we propose a fuzzy clustering method of construction of ontology-based user profiles (FCOU). In the FCOU method, we employ fuzzy clustering techniques combined with optimization techniques to develop ontology-based user profiles. One key feature of FCOU is that it employs an augmented Lagrangian function to create fuzzy clustering model for the construction of user profiles. Another key feature of FCOU is that it employs the combination of FCM, PHR and simulated annealing to develop ontology-based user profiles. The method allows some information to belong to several user profiles Simultaneously With different degrees of accuracy. (C) 2008 Elsevier Ltd. All rights reserved.
引用
收藏
页码：535 / 540
页数：6
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