Differential Privacy-based Personalized Recommendation Service for "Helping Farmers" Tourism in Guizhou Province

Authors

  • Zifang Xiao
  • Ting Li
  • Zhuo Liu

DOI:

https://doi.org/10.54097/ajst.v4i3.4783

Keywords:

Rural tourism, Genetic matrix decomposition recommendation algorithm satisfying differential privacy preservation, Differential privacy recommendation algorithm for sparse data.

Abstract

 The revitalization of the countryside is an important strategy proposed in the report of the 19th Party Congress. Rural tourism in Guizhou Province is the key to the development of "big tourism" in the 14th Five-Year Plan of the province, and also the driving force of rural revitalization. Most of the current rural tourism personalized recommendation systems rely on user information, and the exposure of sensitive user information has become an obstacle to the development of smart tourism. Through the genetic matrix decomposition recommendation algorithm based on satisfying differential privacy protection and differential privacy recommendation algorithm for sparse data, privacy protection of similarity calculation, accuracy of recommendation and data security are realized. Actively develop secure and personalized rural tourism recommendations so that the majority of farmers can benefit from them.

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References

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Published

08-02-2023

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Section

Articles

How to Cite

Differential Privacy-based Personalized Recommendation Service for "Helping Farmers" Tourism in Guizhou Province. (2023). Academic Journal of Science and Technology, 4(3), 42-46. https://doi.org/10.54097/ajst.v4i3.4783

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