News recommendation based on Web usage and Web content mining

In the last decade, online newspapers have become a viable alternative to conventional hardcopy papers. Many studies have shown that digital media have increased their share of Internet audience. In this study, we use Web usage and Web content mining techniques to recommend news articles to users. We are using Web server logs from a Malaysian newspaper, Berita Harian that will be combined with the Web content pages to discover the web users´ navigational patterns. We plan to improve existing Web usage mining techniques in deriving user profiles and find a novel way to combine the user profiles with Web content pages.