Proceedings of the 2nd International Conference on Bigdata Blockchain and Economy Management, ICBBEM 2023, May 19–21, 2023, Hangzhou, China

Research Article

Research on a Method and System of Communication Data Product Evaluation

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  • @INPROCEEDINGS{10.4108/eai.19-5-2023.2334372,
        author={Zhihong  Zhou and Yuejia  Sun and Zhongxian  Xu and Lin  Lin},
        title={Research on a Method and System of Communication Data Product Evaluation},
        proceedings={Proceedings of the 2nd International Conference on Bigdata Blockchain and Economy Management, ICBBEM 2023, May 19--21, 2023, Hangzhou, China},
        publisher={EAI},
        proceedings_a={ICBBEM},
        year={2023},
        month={7},
        keywords={data package products evaluation system evaluation model key product screening},
        doi={10.4108/eai.19-5-2023.2334372}
    }
    
  • Zhihong Zhou
    Yuejia Sun
    Zhongxian Xu
    Lin Lin
    Year: 2023
    Research on a Method and System of Communication Data Product Evaluation
    ICBBEM
    EAI
    DOI: 10.4108/eai.19-5-2023.2334372
Zhihong Zhou1,*, Yuejia Sun1, Zhongxian Xu1, Lin Lin1
  • 1: China Mobile Research Institute
*Contact email: zhouzhihong@chinamobile.com

Abstract

The homogeneity of data products of domestic communication operators is serious, and the industry competition is particularly fierce. At the same time, the data package products are too complicated, and there is serious product overlap and crossover phenomenon, which wastes the resources of enterprises on the one hand, and causes confusion among consumers when choosing products on the other hand. Therefore, it is necessary to evaluate the communication data package products and screen key products. However, at present, the systematic research on the evaluation of data package products in the telecom industry is still relatively scarce, and this paper constructs an evaluation system and method for communication data package products by drawing on the research experience of previous scholars on telecom products. Through the well-designed data product evaluation system and method, and based on the combination calculation method of subjective and objective weights, the data package product evaluation model is constructed.