个性化信息获取中特征提取的遗传算法  

Applying Genetic Algorithms to Realize Feature Extraction in the Course of Personal Information Retrieval

作　　者：杨震[1] 邓贵仕[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：《系统工程理论与实践》2004年第8期86-90,共5页Systems Engineering-Theory & Practice

基　　金：国家自然科学基金(70031020;70272050)

摘　　要：　针对信息服务领域的个性化信息获取进行了研究.首先介绍特征撮的概念和特征提取的各种算法,在此基础上提出了个性化特征的概念,给出了个性特征提取的数学模型.然后应用遗传算法实现了在用户信息获取过程,按照用户不同信息需求特点的个性特征的提取,并且能同时达到文档的个性化识别和排序的目的.We investigate the theory and method of personal information retrieval in the course of information service. The main research work is as follow. Firstly, the conception of feature extraction and some feature extraction algorithms are studied. Secondly, the user personal feature extraction conception and the mathematical model are proposed. Finally, we apply genetic algorithms to realize feature extraction in the course of personal information retrieval. It also can make use of the user personal information to accompllsh the documents' recognizing, matching and sequencing.

关 键 词：个性化 特征提取 遗传算法 信息获取 

分 类 号：TP393[自动化与计算机技术—计算机应用技术]