| 蚁群算法在网络教育资源检索中的应用 |
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| 引用本文： | 吴彦文,吴世杰,刘晋萍. 蚁群算法在网络教育资源检索中的应用[J]. 计算机应用与软件, 2008, 25(11) |
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| 作者姓名： | 吴彦文 吴世杰 刘晋萍 |
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| 作者单位： | 华中师范大学信息技术系,湖北,武汉,430079 |
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| 摘 要： | 为了克服传统检索算法在个性化检索上的不足,提出了基于蚁群算法的资源检索模块.该模块挖掘Web日志中的用户向量,根据向量的相关度寻找当前用户的邻近用户.模拟蚁群算法建立概率模型,并按照概率值对资源进行降序排列,将结果提供给用户作为决策支持.实验表明新的检索模块优化了资源检索过程,提高了检索效率,实现了个性化网络教学资源检索.最后分析了模块的优越性和局限性,并对以后的发展方向进行了展望.
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| 关 键 词： | 网络教育资源 个性化检索 蚁群算法 评价 |
AN APPLICATION OF ACO IN NETWORK EDUCATION RESOURCES RETRIEVAL |
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| Wu Yanwen,Wu Shijie,Liu Jinping. AN APPLICATION OF ACO IN NETWORK EDUCATION RESOURCES RETRIEVAL[J]. Computer Applications and Software, 2008, 25(11) |
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| Authors: | Wu Yanwen Wu Shijie Liu Jinping |
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| Affiliation: | Wu Yanwen Wu Shijie Liu Jinping (Department of Information Technology,Huazhong Normal University,Wuhan 430079,Hubei,China) |
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| Abstract: | To overcome the shortage of traditional algorithm in personalized retrieval,this paper presents a resources retrieval module based on ant colony optimization (ACO) algorithm.This module mines the user's vector in the web log,searches the current user's neighbour- ing users by using the correlation of vector.It simulates ACO algorithms and constitute probability model,arrays all resources in descending order according to probability value,provides the results for users as the decision-making supports.The exp... |
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| Keywords: | Network education resource Personalized retrieval Ant colony optimization Evaluate |
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