Abstract
In the face of the huge Weibo user base, the key factor is to attract more users with the humanized user experience. By applying the artificial intelligence reasoning engine to the search of microblog data, the keywords used by users can be collected and the interested information can be recommended to users immediately. This paper aimed at the Weibo culture industry demand for artificial intelligence reasoning engine is analyzed, then the artificial intelligence search engine related concept and the classification and the characteristics of Weibo data are introduced, discussed the system structure form of artificial intelligence reasoning engine, from the system function, the system level, system management, and maintenance of the specific content of three aspects of system design, choosing the way of the crawler to get data. Through the test of system performance, it is concluded that the artificial intelligence reasoning system can be well coupled with the microblog culture industry and will bring users a new humanized experience on the Internet.
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Funding
The study was financially supported by the Primary Research & Development Plan of Jiangxi Province (No. 20181ACE50033), the 13th Five-Year Plan of National Educational Science (No. BIA180187), the Jiangxi Province Social Science Planning Project of China (No. 18YJ28), the Science and Technology Innovation Platform Project of Jiangxi Province (No. 20181BCD40005), and the Major Discipline Academic and Technical Leader Training Plan Project of Jiangxi Province (No.20172BCB22030).
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Huang, X. Application analysis of AI reasoning engine in microblog culture industry. Pers Ubiquit Comput 24, 393–403 (2020). https://doi.org/10.1007/s00779-019-01338-6
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DOI: https://doi.org/10.1007/s00779-019-01338-6