A keyword extraction based model for web advertisement

Abstract

In this paper, a keyword extraction based model is proposed to deal with web advertisement. In our model, we take web advertisement as an information retrieval problem. Web page and advertisement are firstly represented with a simple data structure which will be the source file for keyword extraction based on X2-measure for single document. Later we get two vectors to make a retrieval process with a specific similarity funmeasure for single document. Later we get two vectors to make a retrieval process with a specific similarity function. This model is suitable for common cases of web advertisement. It supports the web page selection in view of advertisement as well as the advertisement selection for specific web page. © 2007 by International Federation for Information Processing.