信息服务个性化过程中的模式识别  

The pattern recognition in the course of personal information service

作　　者：杨震[1] 邓贵仕[1] 李朝辉[1] 柳枫 单世民[1] 

机构地区：[1]大连理工大学系统工程研究所,辽宁大连116024

出　　处：《东南大学学报（哲学社会科学版）》2002年第S2期67-71,共5页Journal of Southeast University(Philosophy and Social Science)

基　　金：2000年教育部博士点专项基金项目(1999014104)。

摘　　要：随着Internet上信息资源的持续增长,目前越来越需要个性化信息服务系统来为信息的需求者提供个性化的信息服务。因而符合个性信息需求特征的信息识别和匹配方法越来越引起人们的重视。本文提出了基于奇异值分解的个性化信息模式识别的方法,可以利用用户的特征信息完成个性化的信息识别和匹配。本论文中的算法实现较简单,可以应用到目前的一些信息服务系统中,如搜索引擎等。The volume of information and the number of information sources in the Internet are continuously increasing, so the need for information retrieval systems that provide relevant information for specific person is emerging. Now, the personal information recognizing and matching algorithm is causing more and more interesting than ever before. In this paper, we put forward SVD algorithm to realize personal information recognition, and verify the effectiveness of the algorithm. It can make use of the user personal information to accomplish the documents' recognizing and matching. Our algorithm is easier to realize, and can be used in many information service systems, such as search engine.

关 键 词：信息检索 模式识别 奇异值分解 个性化 

分 类 号：TP391.4[自动化与计算机技术—计算机应用技术]