Abstract

Today's personalized news systems relieve the reader of much of the burden of filtering through the immense amounts of information available at any given minute. However, few take into account changes in a reader's day-to-day life and how these changes may affect his or her interests. This thesis describes a personalized news system that uses observations… (More)

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