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基于蚁群聚类的信息检索系统研究

INFORMATION RETRIEVAL BASED ON ANT COLONY CLUSTERING SYSTEM
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摘要 随着网络的不断普及和发展,Intemet为用户提供了一个极有价值的信息源.如何能够快速、准确地检索出用户感兴趣的信息,已经成为当前研究的热点.笔者引入蚂蚁堆形成原理实现聚类,使得聚类结果精度高,速度快,从而加快信息过滤速度提高过滤效率. Intemet is more and more widely used, which provides a valuable information resource for users. How retrieves the information users prefere rapidly and accurately become the focus nowadays. With introducing ant -based clustering and sorting, it makes a more precise and rapid clustering result. Consequently, it increases the speed and efficiency of information retrival.
作者 葛润霞
出处 《山东师范大学学报(自然科学版)》 CAS 2010年第4期49-52,共4页 Journal of Shandong Normal University(Natural Science)
关键词 蚁群算法 聚类 向量空间模型 信息检索 ant colony algorithm clustering vector space model information retrieval
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