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Lingo algorithm combines common phrase discovery and latent semantic indexing techniques to separate search results into meaningful groups.
A novel strategy – called dynamic SVD clustering – to discover the optimal number of singular values to be used for clustering purposes.
We show that the algorithm has very good classification performance, and that it can be effectively used to cluster results of a search engine to make them ...
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A new similarity criterion for merging is evaluated for search results returned from actual web search engines, which can be perceived as a way of ...
We show that the algorithm has very good classification performance, and that it can be effectively used to cluster results of a search engine to make them ...
Abstract: Organizing Web search results into a hierarchy of topics and subtopics facilitates browsing the collection and locating results of interest.
In this paper we present Lingo—a novel algorithm for clustering search results, which emphasizes cluster description quality. ... A new distance with ...
Search results clustering ... We tackle this problem by designing a novel algorithm that exploits the spectral properties and the labels of that graph of topics.
Aug 20, 2008 · Experimental results show that the improved algorithm offers higher accuracy than traditional suffix tree clustering. Article PDF. Download to ...
User search goals are generated by using K-means clustering algorithm from pseudo document and the restructuring of web search results is done on the basis of ...