| 探索式搜索中支持多角度概念发现方法 |
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| 引用本文： | 张引,高克宁,张斌.探索式搜索中支持多角度概念发现方法[J].吉林大学学报(信息科学版),2015,33(1):72-78. |
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| 作者姓名： | 张引 高克宁 张斌 |
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| 作者单位： | 东北大学 a. 信息科学与工程学院； b. 计算中心, 沈阳 110004 |
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| 基金项目： | 国家自然科学基金资助项目，中央高校基本科研业务费专项基金资助项目，沈阳市科学技术计划基金资助项目 |
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| 摘 要： | 为帮助用户在执行探索式搜索时发现领域内重要、有价值的概念, 同时了解概念所处的问题角度进而全面理解目标领域, 以建模概念的实际使用情况为基础, 分析确定概念的重要度及问题角度对概念重要度的影响, 提出了支持用户多角度概念发现方法。该方法考虑了概念的重要性及概念所处问题角度之间的交互影响, 实现了对影响概念发现两方面因素的同步分析。实验表明, 相比直接搜索, 该方法减少了48.8%的搜索交互次数, 并提升了24.3%的概念出现数量。
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| 关 键 词： | 探索式搜索 概念发现 排序聚类 概念重要度 |
| 收稿时间： | 2014-07-15 |
Supporting Multi-Aspected Concept Discovery for Exploratory Search |
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| ZHANG Yin,GAO Kening,ZHANG Bin.Supporting Multi-Aspected Concept Discovery for Exploratory Search[J].Journal of Jilin University:Information Sci Ed,2015,33(1):72-78. |
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| Authors: | ZHANG Yin GAO Kening ZHANG Bin |
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| Institution: | a. College of Information Science and Engineering; b. Computing Center, Northeastern University, Shenyang 110004, China |
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| Abstract: | In order to help exploratory search users discover important andvaluable concepts for domains, and understand aspects of the concepts and comprehensively understand the problem domains, based on a concept usage model, concept importance and how problem aspects affect concept importance are analyzed to attain a method supporting multi aspected concept discovery. Such a method considers mutual affects between concept importance and problem aspects of concepts, leading to a simultaneous analysis on the two factors. Experimental results show that the proposed method could reduce search interactions by 48.8% and could improve concept occurrences by 24.3%. |
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| Keywords: | exploratory search concept discovery rank cluster concept importance |
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