Abstract: This paper proposes a filtering method on Web browsing. Some papers
have reported that a user's interests shift continuously during browsing. To
facilitate the user's browsing, a filtering system must adapt to the user's
shift of interests. On the assumption that the user's interests are reflected
in browsing page content and order, we have proposed Context-Sensitive
Filtering (CSF) for a hypertext CD-ROM encyclopedia. In the encyclopedia, the
entire hypertext is controlled to have one topic per page. We confirmed
effectiveness of CSF for the encyclopedia. However, effectiveness of CSF for
the Web was not confirmed. We inferred that the reason of failure is the
difference in page properties of the Web and the encyclopedia. This paper
describes modeling and CSF improvements. Main improvements include dividing a
Web page to approximate an encyclopedia page and augmenting model calculation
with TF-IDF. We confirmed effectiveness of proposed CSF through comparing
several filtering methods.