科研之友
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摘要
Due to increase of Digital TV contents through multimedia devices, users have difficulty in finding his/her preferred TV contents. To solve this problem, we rust classify TV users to their appropriate stereotype user group from similarity measure between TV content consumed among them and their consumption behaviors. For the ontology, we define the conceptual distance for the amount of common properties shared by personal ontology and group ontology. The heterogeneous properties and user's content consumption behavior are also integrated to capture personal taste and the semantic relations. Performance comparison and analysis shows promising results.
- 出版日期2010-9
