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CVS
2002
Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining - KDD '02
As information volume in enterprise systems and in the Web grows rapidly, how to accurately retrieve information is an important research area. Several corpus based smoothing techniques have been proposed to address the data sparsity and synonym problems faced by information retrieval systems. Such smoothing techniques are often unable to discover and utilize the correlations among terms. We propose CVS, a Correlation-Verification based Smoothing method, that considers co-occurrence information
doi:10.1145/775107.775115
fatcat:2ak44ejh6bfobhwgcqvidpdx7y