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We present a novel content-based re-ranking scheme for enhancing the precision of video retrieval on the Web. We use ontology specified knowledge of the video domain to map user queries to domain-based concepts. The user preferences are learned implicitly from the web logs of users' interaction with a video search engine. A ranking SVM is trained for each concept to learn the ranking function which...
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