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University of Kentucky Master's Theses
Term weighting scheme; Document Clustering; Information Retrieval; Page Ranking; Data Mining
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Cluster-Based Term Weighting And Document Ranking Models, Keerthiram Murugesan
Cluster-Based Term Weighting And Document Ranking Models, Keerthiram Murugesan
University of Kentucky Master's Theses
A term weighting scheme measures the importance of a term in a collection. A document ranking model uses these term weights to find the rank or score of a document in a collection. We present a series of cluster-based term weighting and document ranking models based on the TF-IDF and Okapi BM25 models. These term weighting and document ranking models update the inter-cluster and intra-cluster frequency components based on the generated clusters. These inter-cluster and intra-cluster frequency components are used for weighting the importance of a term in addition to the term and document frequency components. In this thesis, we …