- 期刊
Research on Key Technologies of Personalized Recommendation Service on E-learning Platform
摘要
E-learning online learning platform of personalized recommendation service key technology has been widely attention, the traditional work has already can't meet the demand of the current era of development, should be combined with the personalized recommendation service characteristics of online learning platform, correct the key technology, design related services platform, improve the application effect of personalized recommendation service, Break the limitation of traditional work and lay a solid foundation for its follow-up development.
參考文獻
Song Yonghao. Research on key technologies of online personalized learning services [D]. University of Chinese Academy of Sciences, 2018.
Li Yonghong. Design and implementation of key algorithms for large-scale online content recommendation system [D]. Beijing Jiaotong University, 2018.
Li Weiming. Design and Implementation of Personalized Education Platform [D]. University of Electronic Science and Technology of China, 2017.
Lin Qingfa, Ruan Huaiwei, Wu Lei, etc. Research and Application of Key Technologies of Dynamic Digital Publishing System [Z]. Times Publishing and Media Co., Ltd., 2018, 88(44): 136-157.
Chen Zhen. Research on QoS data-driven context-aware Web service collaborative recommendation technology [D]. Yanshan University, 2017.
延伸閱讀
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