Web Snippet Clustering and Labeling using Lingo Algorithm
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Abstract
A typical search engine’s response to a query is a ranked list of documents along with their partial content (snippets) Search results clustering problem is defined as an automatic, on-line grouping of similar documents in a search hits list, returned from a search engine. In this paper we discuss how to cluster the snippets and generate the label for them, further the results of the experimental evaluation of a Lingo algorithm using singular value decomposition.
Keywords: Clustering; Snippets; Cluster Label; Candidates words; Pre-processing
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