Abstract
The development of network technology has greatly enhanced the degree of informationization of life. Although computers and mobile phones in developed regions have spread all over, there are still some minority peoples living in remote areas that have problems such as low mobile penetration rate, scattered national application software, language barriers which is due to information occlusion. In this case, this paper uses the collaborative filtering algorithm and the recommendation algorithm based on content to implement the recommendation system, use the loop neural network to implement the smart translation function, and finally incorporate other techniques to design an ethnic minority applications recommendation App that is suitable for ethnic minorities. This App is convenient for them to learn Chinese, strengthen their communication with the outside world, improve their living standards and expand their horizons. At the same time, this software can speed up the popularization of smartphones and promote the development of information technology in minority areas.
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Acknowledgements
This research is supported by the Fundamental Research Funds for the Central Universities of Southwest Minzu University under Grant No. 2018NQN39, and the 6th Innovation and Entrepreneurship Leading Talents Project of Dongguan.
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© 2019 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
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Wang, X., Tang, D., Zheng, H., Zhang, K. (2019). Study and Implementation of Minority Mobile Application Recommendation Software. In: Song, H., Jiang, D. (eds) Simulation Tools and Techniques. SIMUtools 2019. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 295. Springer, Cham. https://doi.org/10.1007/978-3-030-32216-8_54
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DOI: https://doi.org/10.1007/978-3-030-32216-8_54
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