摘要: 如何从大量信息中快速、有效地进行Web信息检索已经成为一项重要的研究课题。但是传统的搜索引擎所提供的搜索结果仅仅按照与查询的相关性从高到低排成一个有序列表,不具备层次性,用户使用起来并不方便。该文基于Web资源中词语的不分明性即模糊性,提出采用模糊聚类的方法自动组织搜索引擎的结果来解决这个问题。
关键词:
模糊聚类,
Web,
信息检索,
搜索引擎
Abstract: It is becoming an important research issue to search the Web rapidly and effectively from a mass of information. However, the search result provided by traditional search engine is just a ranked list ordered by the correlation of the query, therefore, it has not any hiberarchy and users don't feel convenient in using it. Basing on the non-clearly of items in Web resources, this paper presentes a fuzzy clustering approach to automatically organize the search engine result for solving the problem.
中图分类号:
何鹏,徐立臻,庄晓青. 模糊聚类在Web信息检索中的应用研究[J]. , 2002, 28(10): 249-.
HE Peng, XU Lizhen, ZHUANG Xiaoqing. Fuzzy Clustering Applied to Information Retrieval on the Web[J]. , 2002, 28(10): 249-.