Research on the Path of Empowering Rural Revitalization with E-commerce in Shaanxi Province under the Background of Digital Economy

Utilising marketing data effectively can improve market mobility and competition, which will increase user numbers. In order to help businesses proactively respond to competition in the market of Shaanxi Province, this study validates and productizes a game theory-assisted machine learning scheme based on game decision making and conditional slack. The technology gives businesses a machine learning model to identify user carrying propensity and treat users differently. The technology can help businesses create targeted porting strategies and precisely identify "abnormal" users who are likely to port in or out, according to experimental results. The plan has also been effectively turned into a product, greatly enhancing the company's marketing effectiveness and, in the case of one company, raising the number of subscribers by about 50%. The seed set is analysed in a varied comparison between the movie consumption network and the Yahoo Answers network, and the interest preferences of movie-going customers are examined in several aspects.

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Publication Details

Journal
Scalable Computing Practice and Experience
Published
2025-07-14
DOI
https://doi.org/10.12694/scpe.v26i5.4851
Primary Topic
Regional Development and Environment
Type
article
Field-Weighted Citation Impact
0.00
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article

Research on the Path of Empowering Rural Revitalization with E-commerce in Shaanxi Province under the Background of Digital Economy

Zhan Zhao, Xiaolan Feng
Scalable Computing Practice and Experience
Regional Development and Environment
article

Research on the Path of Empowering Rural Revitalization with E-commerce in Shaanxi Province under the Background of Digital Economy

Zhan Zhao, Xiaolan Feng
article en

Abstract

Utilising marketing data effectively can improve market mobility and competition, which will increase user numbers. In order to help businesses proactively respond to competition in the market of Shaanxi Province, this study validates and productizes a game theory-assisted machine learning scheme based on game decision making and conditional slack. The technology gives businesses a machine learning model to identify user carrying propensity and treat users differently. The technology can help businesses create targeted porting strategies and precisely identify "abnormal" users who are likely to port in or out, according to experimental results. The plan has also been effectively turned into a product, greatly enhancing the company's marketing effectiveness and, in the case of one company, raising the number of subscribers by about 50%. The seed set is analysed in a varied comparison between the movie consumption network and the Yahoo Answers network, and the interest preferences of movie-going customers are examined in several aspects.

Scalable Computing Practice and ExperienceVol. 26(5)
Lanzhou Jiaotong University (CN), Microbiology Institute of Shaanxi (CN)
Openalex Percentile: Top 77%
Regional Development and Environment
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Research on the Path of Empowering Rural Revitalization with E-commerce in Shaanxi Province under the Background of Digital Economy — Zhan Zhao, Xiaolan Feng · Scalable Computing Practice and Experience (2025) | TGRS Research Map | TGRS