Abstract
As the Hangzhou Asian Games is approaching, the research group has designed and implemented an intelligent system for Asian Games services with privacy-preserving recommendation system, aiming to solve the problem that people cannot obtain personalized Asian Games information. The system adopts Term Frequency Inverse Document Frequency (TF-IDF) and the privacy enhanced matrix factorization to realize the multi-criteria privacy-preserving recommendation. The system can meet the individuals’ needs to obtain sports event information with the protection of user privacy. It improves the users’ experiences, meanwhile, conduce to the spread of Hangzhou and the Asian Games.
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Acknowledgment
This work was supported by the Humanities and Social Sciences Research Program Fund of the Ministry of Education of China (No. 17YJA880004); The grants from Zhejiang Xinmiao Talents Program (No.2021R415026).
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Zhang, Z., Cen, Y., Che, X., Yang, Z., Wang, L., Lin, X. (2023). Asian Games Service Intelligent System Based on Privacy-Preserving Recommendation. In: Hong, W., Weng, Y. (eds) Computer Science and Education. ICCSE 2022. Communications in Computer and Information Science, vol 1811. Springer, Singapore. https://doi.org/10.1007/978-981-99-2443-1_5
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DOI: https://doi.org/10.1007/978-981-99-2443-1_5
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