智慧博物馆智能推送平台的应用研究
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摘要
随着信息技术的发展,博物馆在文化传播方面扮演着越来越重要的角色。如何解决博物馆与观众之间的互动,是一个重要的问题。因此,研发智能推送平台可以解决博物馆展品,展览的个性化推荐问题,提升观众体验。笔者针对智慧博物馆智能推送平台的现状进行分析,结合平台的构建需求,提出了基于Hadoop的智慧博物馆智能推送平台的设计。平台主要包括以下六个功能子模块:数据预处理模块、数据建模模块、推荐引擎模块、数据可视化模块、数据统计模块及系统管理模块,以期为今后系统平台的具体实现提供参考。
With the development of information technology, museums are playing a more and more important role in cultural transmission. How can museums and the audience friendly interact? The smart pushing platform can solve the problem in achieving personalized recommendation in terms of museum exhibits and exhibition, and promote the audience experience. In this paper, focused on the analysis of the present status of smart pushing platform applied by the wisdom museum, and combined with the requirements of the platform construction, the design of smart platform based on Hadoop for wisdom museum will be proposed. The platform mainly includes the following six functional sub-modules: data pre-processing module, data modeling module, recommendation engine module, data visualization module, data statistics module, and system management module. It also provides a reference for the specific implementation of the system platform in the future and has certain reference significance.
With the development of information technology, museums are playing a more and more important role in cultural transmission. How can museums and the audience friendly interact? The smart pushing platform can solve the problem in achieving personalized recommendation in terms of museum exhibits and exhibition, and promote the audience experience. In this paper, focused on the analysis of the present status of smart pushing platform applied by the wisdom museum, and combined with the requirements of the platform construction, the design of smart platform based on Hadoop for wisdom museum will be proposed. The platform mainly includes the following six functional sub-modules: data pre-processing module, data modeling module, recommendation engine module, data visualization module, data statistics module, and system management module. It also provides a reference for the specific implementation of the system platform in the future and has certain reference significance.
引文
[1]穆頔.智慧博物馆概念下博物馆与观众的互动研究[D].西安:西北大学,2014:5-6.
[2]申辉繁.协同过滤算法中冷启动问题的研究[D].重庆:重庆大学,2015:10-18.
[3]陈军,谢卫红,陈扬森.国内外大数据推荐算法领域前沿动态研究[J].中国科技论坛,2018(1):173-181.
[4]刘进,胡大权,陈家佳.面向海量数据的推荐系统的研究[J].现代电子技术,2016,39(12):59-61,65.
[5]肖锋,侯岳,王留召,等.基于LBS的智能信息推送技术研究[J].测绘与空间地理信息,2015,38(6):125-127.
[6]张志威.智慧博物馆观众行为数字化服务平台的设计与实现[D].广东:华南理工大学,2016:19-30.
[2]申辉繁.协同过滤算法中冷启动问题的研究[D].重庆:重庆大学,2015:10-18.
[3]陈军,谢卫红,陈扬森.国内外大数据推荐算法领域前沿动态研究[J].中国科技论坛,2018(1):173-181.
[4]刘进,胡大权,陈家佳.面向海量数据的推荐系统的研究[J].现代电子技术,2016,39(12):59-61,65.
[5]肖锋,侯岳,王留召,等.基于LBS的智能信息推送技术研究[J].测绘与空间地理信息,2015,38(6):125-127.
[6]张志威.智慧博物馆观众行为数字化服务平台的设计与实现[D].广东:华南理工大学,2016:19-30.