A new model named Boolean Latent Semantic Indexing model based on the Singular Value Decomposition and Boolean query formulation is introduced. While the Singular Value Decomposition alleviates the problems of lexical matching in the traditional information retrieval model, Boolean query formulation can help users to make precise representation of their information search needs. Retrieval experiments on a number of test collections seem to show that the proposed model achieves substantial performance gains over the Latent Semantic Indexing model.

This paper describes a method of text summarization using a query expansion technique, Generally, summarization systems using query expansion have the problem that feedback query gets biased during a query expansion process. We can alleviate this problem by expanding the initial query into several split feedback queries. Experimental results show that our query splitting method is superior to other methods using query expansion.