In this research, the browsing support system is built which highlights the keywords of a Web page using a user's browsing history. First, the frequencies of words in a Web page which a user is browsing are counted by a proxy server, and saved in a database. Next, frequent appearing words are taken out. Then, the words which co-occurs with a couple of these frequent words are highlighted as a keyword for this user of the page. We show our system can support more efficiently than the system without a user's browsing history.
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