Information retrieval method of government service platform based on big data technology
Traditional information retrieval methods may face the challenges of large amount of datas and high real-time requirements in the big data environment,so this paper proposes an information retrieval method of government service platform based on big data technology.Big data technology is used to extract key information features from the government service platform,and pre-process these features.According to different data types and business requirements,appropriate indexing algorithms are selected to realize information retrieval in the government service platform.Experimental results show that the proposed method can return query results more efficiently and accurately,and provide users with better service experience,indicating that the proposed method can significantly improve the efficiency and accuracy of information retrieval.
platform information retrievalgovernment serviceservice platformbig data technology
NETL
NSTL
万方数据
