Abstract
In the era of big data, the mastery of information will determine the development strategy of an enterprise and even the country to a certain extent. Therefore, information service is also born in this context. Information precision service is the development trend of information service in the future, but the research in this field is still insufficient. Therefore, this paper proposes the research of information precision service based on big data technology. This paper makes an in-depth study on the information precision service and the application of big data in this field. It is analyzed that the system development technology for precision information service is relatively backward, and there are technical problems with low quality, and big data technology can better remedy the shortcomings in this respect. According to the actual needs of information precision service, combined with the characteristics of big data technology, this paper optimizes and improves the traditional big data information classification algorithm, making the optimized algorithm more suitable for the application in the field of information precision service. In order to further verify the effectiveness of the proposed method, this paper establishes a corresponding test experiment. In the process of the experiment, the frank and MHR methods are compared with the proposed method, including map and MHR P@k Detection of two indicators. The experimental results show that the proposed method is 10.4% higher than MHR method in map detection, P@k the value increased more, reaching 10.6%. The analysis shows that the performance of information precision service detection method based on big data technology is significantly improved compared with traditional methods.
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Fang, S. (2021). Information Precision Service Based on Big Data Technology. In: Xu, Z., Parizi, R.M., Loyola-González, O., Zhang, X. (eds) Cyber Security Intelligence and Analytics. CSIA 2021. Advances in Intelligent Systems and Computing, vol 1343. Springer, Cham. https://doi.org/10.1007/978-3-030-69999-4_7
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DOI: https://doi.org/10.1007/978-3-030-69999-4_7
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