个性化信息检索

一个面向Internet的个性化信息检索系统模型

A Model of Personalized Information Retrieval Systems for Internet Applications

结合向量空间技术、Agent技术、Web日志挖掘等技术提出了一个基于概念的数字图书馆个性化信息检索模型。

This paper presents a concept-based personalized information retrieval model in digital library which uses many technologies including vector space , Agent and Web log file mining .

介绍了信息Agent进行个性化信息检索的基本技术及发展趋势；

This paper presents the basic techniques and development trend of personal information system based personal information Agent ;

描述了如何在multiagent系统Calvin中实现个性化信息检索。

Describes how to implement personal information retrieval in the Multi-Agent system Calvin .

随着Web上多元化信息的增长，传统的搜索引擎，即通用搜索引擎已经不能满足人们对个性化信息检索服务日益增长的需要。

With Web information continuing to explode in all directions , traditional Search Engine can 't keep up with the more and more rigorous and prolific search requirements from different users .

文中提出了一个个性化信息检索系统模型（Parch）。

Parch , a model for personalized Internet information retrieval systems is proposed .

现提出了一个基于Agent的个性化信息检索系统模型PIRS，主要分析了系统的组成及各组成部分的工作原理。

This paper ( presents ) a model of personalized information retrieval system based on agent ( PIRS ), and mainly discusses the working principles of its components .

个性化信息检索系统的用户模型研究

A Study on User Profile of Personal Information Retrieval System

数字图书馆个性化信息检索模型研究

Research on the Personalized Information Retrieval Model in Digital Library

基于关联规则的个性化信息检索系统研究

Research on Personal Information System Based on the Association Rules

2001&2008年我国个性化信息检索研究综述

A Summary of Research on Personalized Information Retrieval in China in 2001-2008

个性化信息检索中用户兴趣模型的研究

Research of Users ' Interest Model in Personalized Information Retrieval

将该方法用于个性化信息检索，取得较好的效果。

The method is applied in personalization information recommendation and achieves better effect .

基于上下文的个性化信息检索技术研究

Research on Context Sensitive Personalized Information Retrieval Technology

本文首先对个性化信息检索的发展和现状进行了简要综述，并对本体做了介绍。

First , we produce the development of personalized information retrieval and the ontology technology .

针对这种现状，作者研究了基于数据挖掘的个性化信息检索系统。

Being directed against this situation , the author researched on the Personalized Information Retrieval System Based on Data Mining .

然后，从现有信息检索存在的问题入手，提出一种基于本体的个性化信息检索系统模型，并对模型中的关键技术&自动创建用户模型技术进行了研究。

Second , we produce the key technologies of the model & user profile techniques for the automatic creation of research .

通过相关的实验，证明了方法的有效性，为建立高效的个性化信息检索系统打下了基础。

Via correlative experiment , prove the method is validity , and establish the base for set up effective personalized information retrieval system .

策略的使用方便了个性化信息检索系统的管理和决策，框架的统一简化了个性化信息检索各个模块的建立与交互。

Using policy makes personalized information retrieval system of management and decision-making very convenient . Uniform framework simplifies the establishment and interaction between each module .

网页自动分类技术与主题搜索、个性化信息检索、信息过滤、信息主动推送服务等技术相结合，可以有效地提高了信息服务的质量。

The technique of Automatic Webpages categorization can combine with topic searching , individual info-search , info-filter , info-deliver automatically service , which can improve information service quality availably .

本文重点分析研究了个性化信息检索的语义匹配算法，查询扩展机制，用户模型构建，日志挖掘策略。

This article focuses on analysis and research of the personalized information retrieval , semantic matching algorithms , query expansion mechanism , the user modeling , and log mining strategy .

网络信息资源的极大丰富和无序使得信息检索成为当今信息领域的热点问题，而个性化信息检索的需求也日益迫切了。

Today , network of information resource greatly enriched and disorder makes the field of information retrieval became a hot issue , while the demand for personalized information retrieval is increasingly urgent .

针对用户通常输入关键字组合作为查询条件的情况，设计了一种基于语义的个性化信息检索模型，利用本体在描述事物上的优势，对用户查询进行扩展，使检索上升到了语义层面。

Enter keyword combinations for the users usually check conditions as the design of a semantic-based personalized information retrieval model which uses the advantage of ontology to describe the things expanding the user search to retrieve up to the semantic level .

作为个性化信息检索中的重要研究子课题，用户兴趣模型研究通过对用户检索和浏览历史的分析，建立用户短期与长期兴趣模型，并随着用户信息和检索领域的变化对用户兴趣模型进行更新。

Its task is to establish the users ' short-term and long-term interest model by analyzing users ' retrieval and browsing history . The users ' interest model will also be updated with the change of users ' information and retrieval areas .

虽然已经存在一些个性化信息检索系统，但是它们使用的是传统的信息检索方法，这种检索方法得到的信息仅仅是字面本身的信息，无法提供基于语义的智能检索，检索效率低。

Although the existence of some personalized information retrieval systems , but they are using a traditional information retrieval methods , which received the information retrieval method is only the literal own information , can not provide semantic-based intelligent search , retrieval efficiency is low .

对于传统检索技术不能根据用户兴趣检索信息的问题，本文引入用户兴趣模型并将内容过滤和文本分类方法相结合，提出一种基于内容过滤和分类的个性化信息检索算法。

Furthermore , we proposed a personalized search algorithm , which combines content-based filtering and text classification , to solve the problem that traditional information retrieval technologies can 't satisfy any query from the different background with the different intention and at the different time .

Internet个性化智能信息检索的分析与研究

Analysis and Study on Personalized Intelligent Information Retrieval in Internet

基于模糊聚类的个性化Web信息检索系统研究

Fuzzy Clustering Based Personalized Information Retrieval on the Web

Agent技术的发展日趋成熟，可有效应用于用户个性化智能信息检索中。

Agent technology is developing rapidly and can be applied to the personalized intelligent information retrieval .

旨在结合Web信息挖掘提高中文搜索引擎的查准率，为用户提供个性化的信息检索服务。

We aim at increasing the precision rate of search engineer combining with web information mining to provide users with personalized information retrieval service .