Personalised delivery of news articles from multiple sources

Abstract

Traditional news media report a single set of articles on current news stories. Online news sources make multiple stories on the same topic available reecting different perspectives on the same news event. Navigating between these news sources to find stories of interest can be time consuming and ineffcient. These multiple stories can be combined into personalised news packages by selecting items on topics of interest to an individual user. The appropriate contents of these personalised news packages can be determined by a combination of information retrieval techniques and explicit user preferences. This paper describes systems exploring this approach to personalised news delivery.