基于大数据技术的政务服务平台信息检索方法
Information retrieval method of government service platform based on big data technology
何晨1
作者信息
- 1. 数字广东网络建设有限公司,广东 广州 510000
- 折叠
摘要
传统的信息检索方法在大数据环境下可能面临数据量大、实时性要求高等挑战,文章提出基于大数据技术的政务服务平台信息检索方法.所提方法利用大数据技术提取政务服务平台中的关键信息特征并进行预处理,根据不同的数据类型和业务需求,选择合适的索引算法,实现政务服务平台中的信息检索.实验结果表明:文章方法能够更高效、准确地返回查询结果,为用户提供更优质的服务体验,可以显著提高信息检索的效率和准确性.
Abstract
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.
关键词
平台信息检索/政务服务/服务平台/大数据技术Key words
platform information retrieval/government service/service platform/big data technology引用本文复制引用
出版年
2024
NETL
NSTL
万方数据