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Document recommendation method and device based on semantic tag

机译:文档基于语义标记的推荐方法和设备

摘要

A document recommendation method based on a semantic tag and a document recommendation device. The method includes: for each document, acquiring a first candidate tag set corresponding to the document, and processing each first candidate tag in the first candidate tag set corresponding to the document to obtain a second candidate tag set corresponding to the document; performing normalization processing on each second candidate tag in the second candidate tag set corresponding to the document to obtain a third candidate tag set corresponding to the document; performing expanding process on each third candidate tag in the third candidate tag set corresponding to the document, and acquiring a fourth candidate tag set corresponding to the document, to form a document library having semantic tags; and recommending a target document obtained from the document library having semantic tags to the user, according to historical semantic tag.
机译:一种基于语义标记和文档推荐设备的文档推荐方法。 该方法包括:对于每个文档,获取与文档对应的第一候选标签集,并在与文档对应的第一候选标签集中处理每个第一候选标签,以获得与该文档相对应的第二候选标签集; 对与文档相对应的第二候选标签集中的每个第二候选标签执行归一化处理,以获得与该文档相对应的第三候选标签集; 对与文档相对应的第三候选标签集中的每个第三候选标签的扩展处理,并获取与文档对应的第四候选标签集,以形成具有语义标记的文档库; 根据历史语义标签,并推荐从对用户的文档库获得的目标文档给用户。

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