Live video big data accurate recommendation method and system based on artificial intelligence
A technology of live video and artificial intelligence, which is applied in the field of data identification and analysis, can solve the problems of low retrieval and recommendation accuracy and failure to recommend, and achieve the effects of ensuring accuracy and efficiency, reducing computing resource consumption, and reducing computing resource consumption
Active Publication Date: 2022-05-13
华夏文广传媒集团股份有限公司
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Problems solved by technology
[0003] Although the traditional video retrieval method can retrieve and recommend some valuable live videos, the retrieval and recommendation accuracy of the traditional method is not high, and it cannot meet the needs of the public make targeted recommendations
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[0065] Such as Figure 1-Figure 2 As shown, in the first aspect, the embodiment of the present invention provides a method for accurately recommending large data of live video based on artificial intelligence, including the following steps:
[0066] S1. Obtain and count multiple pieces of historical viewing video data of the target user, generate and select a piece of historical viewing video data as the benchmark live video according to the statistical results; for any live video viewer, select the live video that he (she) has watched the most times , as the benchmark live video.
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The invention discloses a live video big data accurate recommendation method and system based on artificial intelligence, and relates to the technical field of data identification and analysis. The method comprises the following steps: selecting and identifying a reference live video; selecting a core reference key frame image; identifying to obtain a core reference high-frequency vocabulary; identifying the live video to be identified; selecting and identifying the to-be-identified core key frame image to obtain a target high-frequency vocabulary; and if at least one core reference high-frequency vocabulary is the same as the target high-frequency vocabulary, carrying out significance detection, carrying out clustering by adopting a spectral clustering method based on positive and negative samples, and determining whether the to-be-identified live video is a target recommended live video or not. According to the method, key frame detection and representative key frame image selection methods are utilized to effectively select the core frame image in the live video, and an OCR-based high-frequency vocabulary matching method and a clustering method are combined, so that effective and accurate judgment is realized, and related video data are accurately recommended for a user.
Description
technical field [0001] The present invention relates to the technical field of data identification and analysis, in particular to an artificial intelligence-based accurate recommendation method and system for live video big data. Background technique [0002] With the rapid development of the digital media industry, live video has become more and more widely recognized by the public. People can choose their favorite products from the live video, learn their favorite courses, appreciate the cultural landscapes around the world, etc., which greatly enriches and facilitates people's spare time life. At the same time, with the explosive growth of live video big data, how to accurately recommend valuable live videos to the public according to the needs of the public in the case of massive live video data has become a new problem. [0003] Although the traditional video retrieval method can retrieve and recommend some valuable live videos, the retrieval and recommendation accurac...
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IPC IPC(8): G06V20/40G06V20/62G06V10/74G06V10/762G06V10/82G06K9/62G06N3/04
CPCG06N3/045G06F18/22G06F18/23213
Inventor 吴新军
Owner 华夏文广传媒集团股份有限公司
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