基于CBR的协同Web搜索模型及应用研究

J4 ›› 2012, Vol. 47 ›› Issue (5): 19-24.

基于CBR的协同Web搜索模型及应用研究

孙静宇,陈俊杰*,余雪丽,何秀

太原理工大学计算机科学与技术学院(软件学院), 山西太原 030024

收稿日期:2011-11-30 出版日期:2012-05-20 发布日期:2012-06-01
通讯作者: 陈俊杰(1956- ),男,博士生导师,教授,主要研究方向为智能信息处理.Email:chenji@tyut.edu.cn
作者简介:孙静宇(1975- ),男,讲师,博士,主要研究方向为协同Web搜索,推荐系统,生物特征识别. Email:whitesunpersun@163.com
基金资助:
山西省基础研究项目(青年)(200821024);山西省国际科技合作计划项目(2008081032)

A model for CBR-based collaborative Web search and its applications

SUN Jing-yu, CHEN Jun-jie*, YU Xue-li, HE Xiu

College of Computer Science and Technologies, Taiyuan University of Technology, Taiyuan 030024, Shanxi, China

Received:2011-11-30 Online:2012-05-20 Published:2012-06-01

摘要/Abstract

摘要：

随着互联网用户的不断增多以及搜索引擎的广泛使用,用户间进行协同Web搜索的行为不断增多,然而目前的主流搜索引擎和Web浏览器均针对用户的单独搜索行为设计,不便于进行协同Web搜索。在回顾相关研究的基础上,通过对Web搜索引擎的发展分析,指出存在两种实现协同Web搜索的方式,提出了一种基于CBR(casebased reasoning)的协同Web搜索模型,并介绍了基于此模型实现的两套协同Web搜索原型系统。

关键词: 协同Web搜索;案例推理;专家搜索经验;推荐系统

Abstract:

With the growing number of internet users, search engines are widely used, so collaborative Web search becomes an everyday behavior. However the current mainstream search engines and Web browsers are designed for sole users and are not convenient for collaborative Web search. A novel CBR-based collaborative Web search model utilizing expertise was explored. First, two ways to implement a collaborative Web search were pointed out. Then, the proposed model and two demo systems were discussed.

Key words: collaborative Web search; case-based reasoning; search expertise; recommender system

孙静宇,陈俊杰*,余雪丽,何秀. 基于CBR的协同Web搜索模型及应用研究[J]. J4, 2012, 47(5): 19-24.

SUN Jing-yu, CHEN Jun-jie*, YU Xue-li, HE Xiu. A model for CBR-based collaborative Web search and its applications[J]. J4, 2012, 47(5): 19-24.

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