文章利用大数据技术处理海量用户博文，将处理过的博文信息用于构建用户微博信息微本体和主题微本体，根据微本体匹配技术进行二者的高效匹配，从而提出了一种基于大数据和微本体架构的微博信息推荐方法，实现微博信息的推荐。仿真验证结果证实了大数据技术下微本体的推荐模型可以有效地提升微博信息内容推荐的效率和精准度，对优化微博信息内容的个性化推荐具有重大的意义。

The article uses big data technology to process massive user blogs, constructs user microblog information micro-ontology and topic micro-ontology by using processed blog information, and based on micro-ontology matching technology to efficiently match, thus proposes a kind of based on the microblog information recommendation method of big data and micro ontology architecture, the recommendation of microblog information is realized. The simulation verification results confirm that the recommendation model of micro-ontology under big data technology can effectively improve the efficiency and accuracy of microblog information content recommendation, and it is of great significance to optimize the personalized recommendation of microblog information content.