Research on Clustering Algorithms for Search Engine Results
Yang Liu · Jisuanji gongcheng · 2004
Web search engines have become increasingly ineffective as the number of document on the Web is proliferated. Users of Web search engines are often forced to shift through the long ordered list of document snippets returned by the engines. Clustering search engine results help users more quickly and efficiently to navigate the results of a query at a more topical level. The paper articulates the key requirements for document clustering of search engine results and proposes a PAT-tree-based approach to cluster Chinese search engine results.