Mining the Web for Target Marketing Information

This paper describes the architecture of a system designed to mine home pages available on the web for marketing purposes. Today there are millions of home pages on the web. People post their likes and dislikes on their homepages. We argue that these web pages constitute a valuable source of information both to narrowly identify individuals as potential customers for particular products and as the basis for drawing conclusions about the relation between interests and demographic categories. The system described here is our initial attempt to address this problem. We also lay out the numerous topics for further research; topics that have developed out of the initial work.