Shopping-chances in Web-pages discovered from user's access logs

Recently, we have been able to obtain information easily from the WWW (World Wide Web). However, it is difficult to find the required information, because the Web space is non-linear space connected by hyperlinks which hides novel useful information. The degree of user interest can be regarded as having an intimate relationship to the number of keywords of the homepage, i.e., meaningful words for the user. This paper describes the possibility of constructing a page-index from the relationship between the user's access record and the information content of the homepage. This information is extracted with respect to the degree of user interest in referring to keywords. We also consider the visualization of Web space. The homepage index constructed is useful for the user's browsing. We have constructed an estimating system and we have evaluated experimental data from several domestic electric product pages. We have confirmed the utility of the page-index and the home page index.