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搜索引擎-浏览器插件-推荐引擎模式研究 被引量：1

A Model of Search Engine-Browser Plugin-Recommendation Engine
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摘要 借助浏览器插件技术可以弥补主流搜索引擎无法有效利用用户搜索经验的不足,可更好地实现个性化Web搜索。为此提出一种新的个性化Web搜索模式,即搜索引擎-浏览器插件-推荐引擎模式,给出一种基于案例推理的个性化Web搜索推荐系统体系结构,探讨了搜索经验的获取、表示与组织等,介绍了案例模型的基本结构。此外,介绍了基于上述模式开发的ExpertRec原型系统。 It is very urgent to improve abilities of current search engines. This paper,firstly proposed a novel approach for personalized Web search through seamless integration with mainstream search engines-a model of search engine-browser plugin-recommendation engine ;secondly designed a framework of Web search recommendation system based on case-based reasoning guided by above model;thirdly, discussed the acquirement,presentation and organization of search experiences and proposed a primary structure of case model. Finally introduced a Web search recommendation system based on this model-ExpertRec.
作者 李鲜花 孙静宇 陈俊杰
机构地区 太原理工大学计算机与软件学院 中国联通山西分公司
出处 《广西师范大学学报（自然科学版）》 CAS 北大核心 2010年第1期109-112,共4页 Journal of Guangxi Normal University:Natural Science Edition
基金 国家自然科学基金资助项目(60773004) 山西省基础研究项目基金资助课题(青年)(200821024)
关键词 个性化Web搜索 浏览器插件 推荐系统 案例推理 personalized Web search browser plug-in recommender system case-based reasoning
分类号 TP391 [自动化与计算机技术—计算机应用技术]
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广西师范大学学报（自然科学版）
2010年 第1期

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