Design of information automatic query system based on big data analysis
Based on the purpose of improving the efficiency of information system queries,the concept of big data analysis was adopted to construct an automatic information query system.The system has improved the Top-k information query algorithm and designed data storage and preprocessing methods for the query system.After performance testing,it was found that the maximum time consumption of the improved Top-k information query algorithm was 57 ms.The maximum query time of the information automatic query system is 113 ms,the minimum query time is 0.42 ms,and the maximum delay value is 18 ms.The improved Top-k information query algorithm performs well in automatic information query systems.The research results can provide query algorithm improvement and data storage method support for improving the query efficiency of information systems.
Top-k information query algorithmautomatic queryquery efficiencyhandling capacity
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