Using Support Vector Machine for Integrating Catalogs

Abstract

We discuss a problem of integrating classified documents into another master catalog. This problem is useful in electronic commerce and web portals. The key insight of this problem is that many of the data source have their own categorization, and classification accuracy in master categorizations can be improved by using the implicit information in these source categorizations. In this paper, we use support vector machines (SVM), which have been shown to be efficient and effective for classification. In this paper we apply this fine classification method to this problem. Our experienment results show substantial improvement in accuracy of this problem.