Skip to main content

Information Precision Service Based on Big Data Technology

  • Conference paper
  • First Online:
Cyber Security Intelligence and Analytics (CSIA 2021)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1343))

  • 1271 Accesses

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.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 219.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 279.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Liu, Z., Wang, Y., Cai, L., Cheng, Q., Zhang, H.: Design and manufacturing model of customized hydrostatic bearing system based on cloud and big data technology. Int. J. Adv. Manuf. Technol. 84(1–4), 261–273 (2016)

    Article  Google Scholar 

  2. Liu, W.: The integration trend and its characteristics of social physics and big data technology. Dialect. Nat. Commun. 041(009), 80–86 (2019)

    Google Scholar 

  3. Yu, W.: Research on the role of big data technology in the construction of university library management system. Sci. Technol. Inf. Dev. Econ. 004(005), 16–19 (2019)

    Google Scholar 

  4. Wu, J., Li, H., Cheng, S., Lin, Z.: The promising future of healthcare services: when big data analytics meets wearable technology. Inf. Manag. 53(8), 1020–1033 (2016)

    Article  Google Scholar 

  5. Cai, L., Zhu, Y.: The challenges of data quality and data quality assessment in the big data era. Data Sci. J. 14(1), 21–23 (2015)

    MathSciNet  Google Scholar 

  6. Egberts, A.C.G., Koning, F.H.P.D., Meyboom, R.H.B., Leufkens, H.G.M.: ADR related questions received by a telephone medicines information service and ADRs received by a spontaneous ADR reporting system: a comparison regarding patients and drugs. Pharmacoepidemiol. Drug Saf. 6(4), 269–276 (2015)

    Article  Google Scholar 

  7. Chen, N., Xiao, C., Pu, F., Wang, X., Wang, C., Wang, Z., et al.: Cyber-physical geographical information service-enabled control of diverse in-situ sensors. Sensors 15(2), 2565–2592 (2015)

    Article  Google Scholar 

  8. Cain, T.J., Cheek, F.M., Kupsco, J., Hartel, L.J., Getselman, A.: Health sciences libraries forecasting information service trends for researchers: models applicable to all academic libraries. Coll. Res. Libr. 77(5), 595–613 (2016)

    Article  Google Scholar 

  9. Jiang, J., Wu, H., Wei, H.: Key techniques and project practice for establishing national geo-information service platform “Tianditu”. J. Surv. Mapp. 046(010), 1665–1671 (2017)

    Google Scholar 

  10. Lefteris, M., Stuart, C., Alex, G.: A flexible information service for management of virtualized software-defined infrastructures. Int. J. Netw. Manag. 26(5), 396–418 (2016)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Shimin Fang .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2021 The Author(s), under exclusive license to Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

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

Download citation

Publish with us

Policies and ethics