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Live Teaching Platform for Human Resource Development and Management Based on Big Data Recommendation Technology

机译:基于大数据推荐技术的人力资源开发与管理现场教学平台

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According to the existing teaching resources and management needs, this paper designs and implements a live multimedia teaching system with big data recommendation function. Based on fully analyzing the functional and nonfunctional requirements of the personalized education resource recommendation system, the most classic MVC mode and MVVM mode are used to combine the software architecture, and the Objective-C language is used for development. The key technologies of personalized recommendation system based on big data are analyzed, including big real-time big data processing technology, personalized recommendation engine, teaching management implementation and database design. Finally, through the operation test and performance analysis of the system, the usability, dexterity, stability and high real-time performance of the system operation are clarified, and the convenient multiple capacity expansion ability of the system in the future is also demonstrated.
机译:根据现有的教学资源和管理需求,设计并实现了具有大数据推荐功能的实时多媒体教学系统。在充分分析个性化教育资源推荐系统的功能和非功能需求的基础上,采用最经典的MVC模式和MVVM模式组合软件体系结构,并使用Objective-C语言进行开发。分析了基于大数据的个性化推荐系统的关键技术,包括大实时大数据处理技术,个性化推荐引擎,教学管理实现和数据库设计。最后,通过系统的运行测试和性能分析,阐明了系统运行的可用性,灵巧性,稳定性和实时性,并证明了系统将来方便的多容量扩展能力。

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