Mining special features to improve the performance of e-commerce product selection and resume processing Online publication date: Mon, 22-Sep-2014
by Abhishek Sainani; P. Krishna Reddy; Sumit Maheshwari
International Journal of Computational Science and Engineering (IJCSE), Vol. 7, No. 1, 2012
Abstract: In the literature, research efforts are going on to extract interesting information from text documents to improve the performance of information-based services. Interesting information is extracted after identifying features from each document. In this paper, we have proposed the notion of 'special feature' which is a new kind of knowledge that can be used to improve the performance of information-based services. A feature is a special feature if only very few documents in the dataset possess it. Given a text document dataset, we have proposed a methodology to extract special features. By using the notion of special features, we have also proposed frameworks to improve the performance of product selection in the e-commerce environment and the process of resume selection. The experiment results on real datasets show that it is possible to improve the efficiency of the applications with the proposed approach.
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