Abstract
At present, the growth of traditional business of operators is slowing down, the communication market has entered the stock area, and the trend of industry in-volume is becoming more and more significant. Only by expanding business scope and reconstructing business model can we break through the revenue ceiling of communication industry and realize value-added. In this paper, we propose a process of business circle attraction based on deep packet inspection(DPI), which not only opens up new realization channels, but also improves user stickiness of its own products and achieves win-win cooperation with business circle merchants. DPI technology helps construct user profile by capturing data of user network behavior and moving track. It enables to realize the recommendation of users and merchants with the help of word2vec. Then, we use real data to introduce the attraction process. It demonstrates that operators can effectively develop the 2B market with their own big data capabilities.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Anonymity.: Opinions on building a more perfect market-oriented allocation system and mechanism of factors. Special issue of labor and social security laws and policies (5), 9–13 (2020)
Dong, X.: Technological innovation creates a new growth pole for operators. China Telecom Industry 12, 40–44 (2021)
Chen, S.: Research on commodity recommendation based on massive data and business district interest point mode. Zhejiang University of Technology, Hangzhou (2019)
Yang, C., Hu, Z.: Word of mouse store recommendation based on Neural Network. Modern Computer (12), 46–49+67(2019)
Xu, L., Cao, Y., Yang, H., Sun, C., Zhang, T., et al.: Research on Telecom Big Data Platform of LTE/5G Mobile Networks. In: 18th IEEE International Conferences on Ubiquitous Computing and Communications, pp. 756–761. IEEE Press, Shenyang (2019)
Zhang, Y., et al.: Research and implementation of traffic analysis technology of mobile packet network based on DPI. Telecommun. Sci. 30(04), 88–94 (2014)
Cao, L., et al.: Analysis scheme of large-scale activities based on XDR data. Post and Telecommun. Technol. 10, 29–32 (2018)
Wang, Y.: Design and implementation of intelligent operation platform based on user profile. Beijing Jiaotong University, Shanghai (2019)
Qin, C., et al.: Summary of research and development of personalized recommendation algorithm. J. Dongguan Instit. Technol. 28(03), 51–60 (2021)
Chen, J., et al.: Research on personalized recommendation algorithm. J. South China Normal Univ. (NATURAL SCIENCE EDITION) 46(05), 8–15 (2014)
Wu, D.: Research and implementation of Chinese text similarity based on word2vec. Xi'an University of Electronic Science and Technology (2016)
Luo, W., et al.: Disease association detection based on word2vec and public health information sources. Mod. Library Inf. Technol. 09, 78–87 (2016)
Mikolov, T., Chen, K., Corrado, G., Dean, J.: Efficient estimation of word representations in vector space. In: Proceedings of the International Conference on Learning Representations (2013)
Mikolov, T. et al.: Distributed representations of words and phrases and their compositionality. In: Advances in Neural Information Processing Systems, vol. 26 (2013)
Hugo, C., Florian, L., Jimena, R.: Word2Vec applied to recommendation: hyperparameters matter. In: 12th ACM Conference on Recommender Systems, Vancouver, Canada (2018)
Xu, L., et al.: Architecture and Technology of Multi-Source Heterogeneous Data System for Telecom Operator. In: Wang, Y., Xu, L., Yan, Y., Zou, J. (eds.) Signal and Information Processing, Networking and Computers. LNEE, vol. 677, pp. 1000–1009. Springer, Singapore (2021). https://doi.org/10.1007/978-981-33-4102-9_120
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2023 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Zhang, W. et al. (2023). Business Circle Attraction Based on DPI. In: Wang, Y., Liu, Y., Zou, J., Huo, M. (eds) Signal and Information Processing, Networking and Computers. ICSINC 2022. Lecture Notes in Electrical Engineering, vol 996. Springer, Singapore. https://doi.org/10.1007/978-981-19-9968-0_133
Download citation
DOI: https://doi.org/10.1007/978-981-19-9968-0_133
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-19-9967-3
Online ISBN: 978-981-19-9968-0
eBook Packages: Computer ScienceComputer Science (R0)