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Search Result Clustering Through Expectation Maximization Based Pruning of Terms

Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 236)

Abstract

Search Results Clustering (SRC) is a well-known approach to address the lexical ambiguity issue that all search engines suffer from. This paper develops an Expectation Maximization (EM)-based adaptive term pruning method for enhancing search result analysis. Knowledge preserving capabilities of this approach are demonstrated on the AMBIENT dataset using Snowball clustering method.

Keywords

Information retrieval Clustering FPtree Expectation maximization 

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Copyright information

© Springer India 2014

Authors and Affiliations

  1. 1.Department of Computer and Information SciencesUniversity of HyderabadHyderabadIndia

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