Author(s)

Chen Yuqi ¹, Yang Zhengshuai ¹, Yan Haiwei ¹

Affiliation(s)

¹ School of Computer and Information Engineering, Nantong Institute of Technology, Nantong, 226001, China

Corresponding Author

Yan Haiwei

ABSTRACT

This paper describes the design of a personalized action recommendation system based on mobile platform. With the development of the digital era, the application of mobile smart devices is becoming more and more widespread, and people's demand for mobile applications continues to grow. The system designed in this paper aims to provide personalized action recommendations based on time periods and users' historical preferences to improve users' activity planning and usage experience. The system uses Xamarin as the development framework, C# as the development language and MySQL as the database. The main functions include dynamic recommendation, action categorization, search function, and extraction of action recommendations. By analyzing the user's historical data and combining the characteristics of the time period, the system is able to generate personalized recommendations and improve the accuracy and efficiency of recommendations. In addition, the system also includes an administrator module for supervising and managing dynamic content to ensure the normal operation of the system.

KEYWORDS

Personalized actions, Recommendation system, Mobile platform, Time period

CITE THIS PAPER

Chen Yuqi, Yang Zhengshuai, Yan Haiwei, Design of personalized action recommendation system based on mobile platform. Advances in Computer, Signals and Systems (2024) Vol. 8: 17-24. DOI: http://dx.doi.org/10.23977/acss.2024.080303.

REFERENCES

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[3] Qiu Yue, Guo Jia, HUAN Jun. Design and Implementation of Smart city Cross-platform Mobile Application based on Xamarin [J]. Modern Surveying and Mapping, 2021, 44(01): 55-59.
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