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基于CBR的协同Web搜索模型及应用研究 被引量：3

A model for CBR-based collaborative Web search and its applications
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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。 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.
作者 孙静宇 陈俊杰 余雪丽 何秀
机构地区 太原理工大学计算机科学与技术学院(软件学院)
出处 《山东大学学报（理学版）》 CAS CSCD 北大核心 2012年第5期19-24,共6页 Journal of Shandong University(Natural Science)
基金 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)
关键词 协同Web搜索 案例推理 专家搜索经验 推荐系统 collaborative Web search case-based reasoning search expertise recommender system
分类号 TP311 [自动化与计算机技术—计算机软件与理论]
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参考文献12

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同被引文献86

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山东大学学报（理学版）
2012年 第5期

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