Classification Electronic Newspaper Information Filtering Mobile Device Ontology Personalization Information Storage and Retrieval
Issue Date:
2008
Publisher:
Institute of Information Theories and Applications FOI ITHEA
Abstract:
This paper deals with the classification of news items in ePaper, a prototype system of a future
personalized newspaper service on a mobile reading device. The ePaper system aggregates news items from
various news providers and delivers to each subscribed user (reader) a personalized electronic newspaper,
utilizing content-based and collaborative filtering methods. The ePaper can also provide users "standard" (i.e., not
personalized) editions of selected newspapers, as well as browsing capabilities in the repository of news items.
This paper concentrates on the automatic classification of incoming news using hierarchical news ontology.
Based on this classification on one hand, and on the users' profiles on the other hand, the personalization engine
of the system is able to provide a personalized paper to each user onto her mobile reading device.
