Learning video preferences from video content

Abstract

Viewers of video now have more choices than ever. As the number of choices increases, the task of searching through these choices to locate video of interest is becoming more difficult. Current methods for learning a viewer's preferences in order to automate the search process rely either on video having content descriptions or on having been rated by other… (More)
DOI: 10.1145/1341920.1341924

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