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Personalized search, navigation and content delivery techniques have attracted interest in the recommender systems as a means to decrease search ambiguity and return results most relevant to a particular user preferences. In this paper, we study the effect of incorporating user semantic profile derived from past user's behavior and preferences on the accuracy of a recommender system. We present a...
Today, video is becoming one of the primary sources of information. Current video mining systems face the problem of the semantic gap (i.e., the difference between the semantic meaning of video contents and the digital information encoded within the video files). This gap can be bridged by relying on the real objects present in videos because of the semantic meaning of objects. But video object mining...
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