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Commodity recommendation method and system based on video content

The invention provides a commodity recommendation method and system based on video content to solve the problem that the accuracy of commodity recommendation results is low. The method comprises the steps that keyframes are extracted from target video; object detection is conducted to each keyframe according to objectivity of objects, and the detected objects serve as candidate objects of each keyframe; commodity identification is conducted to the candidate objects of each keyframe through a convolutional neural network model, and commodities of each keyframe are obtained; keyword mapping is conducted to the commodities of each keyframe, and corresponding commodity tags are obtained to serve as the commodity tags of each keyframe; the commodity tags of each keyframe are determined as commodity recommendation information of the target video, and the commodity recommendation information is output. According to the commodity recommendation method and system based on the video content, the video content is taken into consideration when commodity recommendation is conducted, the video content is analyzed, and the obtained commodity recommendation information is closely bound up with the content of the target video, so that the accuracy of the the commodity recommendation results is improved.
Owner:BEIJING QIYI CENTURY SCI & TECH CO LTD
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