Research and application of prediction model for returning home development population based on machine learning technology
With the development of the Chinese economy and the increasing pressure of living in first-tier cities, more and more young people choose to return to their hometowns for development. To efficiently serve users and improve their product usage experience, the use of algorithms such as LightGBM and Ca...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | zho |
| Published: |
Beijing Xintong Media Co., Ltd
2024-05-01
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| Series: | Dianxin kexue |
| Subjects: | |
| Online Access: | http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2024140/ |
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| _version_ | 1841528903007469568 |
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| author | DU Zhao XIE Guocheng CHEN Jingxuan ZHANG Weibin |
| author_facet | DU Zhao XIE Guocheng CHEN Jingxuan ZHANG Weibin |
| author_sort | DU Zhao |
| collection | DOAJ |
| description | With the development of the Chinese economy and the increasing pressure of living in first-tier cities, more and more young people choose to return to their hometowns for development. To efficiently serve users and improve their product usage experience, the use of algorithms such as LightGBM and CatBoost was proposed to predict the returning population, thereby providing a basis for services and products, and improving user market retention rates. |
| format | Article |
| id | doaj-art-eaae783a74e64227a1263da9a9e00b77 |
| institution | Kabale University |
| issn | 1000-0801 |
| language | zho |
| publishDate | 2024-05-01 |
| publisher | Beijing Xintong Media Co., Ltd |
| record_format | Article |
| series | Dianxin kexue |
| spelling | doaj-art-eaae783a74e64227a1263da9a9e00b772025-01-15T03:33:25ZzhoBeijing Xintong Media Co., LtdDianxin kexue1000-08012024-05-014013114060129372Research and application of prediction model for returning home development population based on machine learning technologyDU ZhaoXIE GuochengCHEN JingxuanZHANG WeibinWith the development of the Chinese economy and the increasing pressure of living in first-tier cities, more and more young people choose to return to their hometowns for development. To efficiently serve users and improve their product usage experience, the use of algorithms such as LightGBM and CatBoost was proposed to predict the returning population, thereby providing a basis for services and products, and improving user market retention rates.http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2024140/LightGBMfeature engineering<italic>K</italic>NN<italic>K</italic>-fold cross-validation |
| spellingShingle | DU Zhao XIE Guocheng CHEN Jingxuan ZHANG Weibin Research and application of prediction model for returning home development population based on machine learning technology Dianxin kexue LightGBM feature engineering <italic>K</italic>NN <italic>K</italic>-fold cross-validation |
| title | Research and application of prediction model for returning home development population based on machine learning technology |
| title_full | Research and application of prediction model for returning home development population based on machine learning technology |
| title_fullStr | Research and application of prediction model for returning home development population based on machine learning technology |
| title_full_unstemmed | Research and application of prediction model for returning home development population based on machine learning technology |
| title_short | Research and application of prediction model for returning home development population based on machine learning technology |
| title_sort | research and application of prediction model for returning home development population based on machine learning technology |
| topic | LightGBM feature engineering <italic>K</italic>NN <italic>K</italic>-fold cross-validation |
| url | http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2024140/ |
| work_keys_str_mv | AT duzhao researchandapplicationofpredictionmodelforreturninghomedevelopmentpopulationbasedonmachinelearningtechnology AT xieguocheng researchandapplicationofpredictionmodelforreturninghomedevelopmentpopulationbasedonmachinelearningtechnology AT chenjingxuan researchandapplicationofpredictionmodelforreturninghomedevelopmentpopulationbasedonmachinelearningtechnology AT zhangweibin researchandapplicationofpredictionmodelforreturninghomedevelopmentpopulationbasedonmachinelearningtechnology |