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Third ACM/IEEE-CS Joint Conference on Digital Libraries (JCDL'03)
Topic Detection and Interest Tracking in a Dynamic Online News Source
Houston, Texas USA
May 27-May 31
ISBN: 0-7695-1939-3
Andrew J. Kurtz, Indiana University
Javed Mostafa, Indiana University
Digital libraries in the news domain may contain frequently updated data. Providing personalized access to such dynamic resources is an important goal. In this paper, we investigate the area of filtering online dynamic news sources based on personal profiles. We experimented with an intelligent news-sifting system that tracks topic development in a dynamic online news source. Vocabulary discovery and clustering are used to expose current news topics. User interest profiles, generated from explicit and implicit feedback are used to customize the news retrieval system?s interface.
Citation:
Andrew J. Kurtz, Javed Mostafa, "Topic Detection and Interest Tracking in a Dynamic Online News Source," jcdl, pp.122, Third ACM/IEEE-CS Joint Conference on Digital Libraries (JCDL'03), 2003
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