The Research of a Multi-Language Supporting Description-Oriented Clustering Algorithm on Meta-Search Engine Result
Search engine has adopted a variety of techniques to improve the accuracy of information retrieval, but the way of a linear list of search engine results, which mixes unrelated documents with relevant documents, has brought user great burden. This article commits to build clustering of search results, which is based on meta search engine techniques. We use all the popular search engine as a data source, then after a certain pre-processing of the source search engine, hierarchical clustering results is formed and returned to the query users. we propose a multi-language supporting, label first clustering algorithm, which we named DCFC algorithm. This algorithm supports both Chinese and English query, focuses on generating human readable labels, shows search results in hierarchical structure.
Elwin Mao and Xibing Li
W. L. Ren and L. J. Liu, "The Research of a Multi-Language Supporting Description-Oriented Clustering Algorithm on Meta-Search Engine Result", Applied Mechanics and Materials, Vol. 151, pp. 549-553, 2012