Abstract
Advanced personalization techniques are required to cope with novel challenges posed by attribute-rich MPEG-7 based digital libraries. At the heart of our deeply personalized news dissemination system P-News is one extensible preference model that serves all purposes, preventing impedance mismatches between the various stages: User modeling by structured preference patterns, automatic query expansion including ontologies, preference query evaluation by Preference XPath including nested preferences on categorical data, quality assessment of query results, personalized notification and news syndication. © Springer-Verlag Berlin Heidelberg 2004.
Cite
CITATION STYLE
Wang, Q., Balke, W. T., Kießling, W., & Huhn, A. (2004). P-news: Deeply personalized news dissemination for MPEG-7 based digital libraries. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 3232, 256–268. https://doi.org/10.1007/978-3-540-30230-8_24
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