个性化智能信息提取中的用户兴趣发现  

Discovering User's Interests in Personalized Intelligent Information Retrieval System

作　　者：欧洁[1] 林守勋[1] 刘桂林[2] 

机构地区：[1]中国科学院计算技术研究所,北京100080 [2]郑州大学北区新开普电子技术有限公司,郑州450002

出　　处：《计算机科学》2001年第3期112-115,共4页Computer Science

摘　　要：1 引言 1990年, WWW (World Wide Web )出现，在随后的几年中它获得了空前的发展，Internet上的信息量以指数形式飞速增长，现在，Internet已成为一个浩瀚的海量信息源。但由于Internet是一个具有开放性、动态性和异构性的全球分布式网络，资源分布很分散，且没有统一的管理和结构，这就导致了信息获取的困难。如何快速、准确地从浩瀚的信息资源中寻找到所需的信息已经成为困扰用户的一大难题。The increasing stream of electronic information available makes it ever more time consuming to find interesting information. Personalized intelligent information retrieval system holds the promise of relieving the user's burden by learning a model of the user's interests and using this model to find inter-sting documents. A method that can fast and accurately discover user's interest in a personalized intelligent information retrieval system is described in this paper. Firstly, user provides his interests by the means of answering problems ,so system can get the initial personal vector of user from the answers. After that .system alters the personla vector of user according to the feedback information and Server Log Data of user.

关 键 词：信息检索 个性化 智能信息提取 WWW INTERNET 

分 类 号：G354.4[文化科学—情报学]