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METHOD AND APPARATUS FOR RECOGNIZING A LOW-QUALITY ARTICLE BASED ON ARTIFICIAL INTELLIGENCE, DEVICE AND MEDIUM

机译:基于人工智能,设备和媒介的低质量物品识别方法和装置

摘要

A method and apparatus for recognizing a low-quality article based on artificial intelligence, a device and a medium. The method comprises: obtaining a user feedback behavior feature of a to-be-recognized article in a news-recommending system; according to the user feedback behavior feature of the to-be-recognized article and a predetermined low-quality article recognition model, recognizing whether the to-be-recognized article is a low-quality article. Automatically recognizing whether the to-be-recognized article is a low-quality article according to the user feedback behavior feature of the to-be-recognized article and the predetermined low-quality article recognition model, thereby overcoming the technical problem about consumption of time and effects and low recognition efficiency in manually checking whether the to-be-recognized article is a low-quality article in the prior art, not only substantially saving the time spent in recognizing whether the to-be-recognized article is the low-quality article, saving manpower consumed in recognition, improving the recognition efficiency of the low-quality article.
机译:用于基于人工智能识别低质量物品的方法和装置,设备和介质。该方法包括:获取新闻推荐系统中待识别商品的用户反馈行为特征;根据待识别商品的用户反馈行为特征和预定的低质量商品识别模型,识别待识别商品是否为低质量商品。根据待识别商品的用户反馈行为特征和预定的低质量商品识别模型,自动识别待识别商品是否为劣质商品,从而克服了时间浪费的技术问题现有技术中人工检查待识别物品是否为劣质物品的效果和效果以及较低的识别效率,不仅大大节省了识别待识别物品是否为劣质物品的时间节省了识别中消耗的人力,提高了低质量文章的识别效率。

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