Compared with Chinese clustering search engine bbmao, its cluster quality and cluster labels are similar to bbmao; however the selected labels are more apprehensive.
与中文聚类搜索引擎比比猫相比,在聚类质量和类别标签上都与之相近,但能够产生含义更为明确的类别标签。
参考来源 - 智能元搜索引擎关键技术研究·2,447,543篇论文数据，部分数据来源于NoteExpress
针对目前搜索引擎搜索结果中普遍存在大量重复网页的现象，提出了一种基于聚类算法DBSCAN的搜索结果优化算法。
The search results got by current search engines generally include a large number of duplicate Web pages. A search results optimization algorithm based on DBSCAN clustering algorithm was proposed.
因此，本文将后缀树算法应用到元搜索引擎中，设计了一个带聚类的元搜索引擎系统。
Therefore, this article applies suffix tree algorithm to the meta search engines, and designs a meta search engine systems with a clustering algorithm.
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