一种基于React Native框架的换宿系统实现方法
|
摘要
打工换宿游是国内外学术界关注的新兴问题。根据国内外打工换宿市场缺少系统化管理的现状,针对用户无法快速、准确获取打工换宿信息的痛点,提出了一种基于React Native框架的换宿系统实现方法。系统采用React Native高效、快速开发框架,面向iOS8. 0及以上平台,以Flexbox弹性布局与Koajs架构下的MongoDB数据库结合,使用ES5语法,组合TabBarIOS导航栏组件等多种第三方组件。同时,在前人的基础上对Geohash算法和Latent Factor算法进行了改进以提高用户体验。最终,测试表明系统不仅解决了用户的痛点,而且研究成果对基于iOS及React Native框架的相关研究有很重要的借鉴参考价值,能够帮助换宿游运营者或从业者高效、准确地完成换宿游系统的搭建,同时也可拓展和丰富换宿游系统的研究视角和理论内涵。
Working holiday is an emerging issue concerned by academic circles at home and abroad. Based on the lack of systematic management in domestic and foreign working holiday market,aiming at the pain point of users' inability to get information quickly and accurately,we propose a method to realize the working holiday system based on React Native framework. The system uses React Native to efficiently and rapidly to develop framework. For iOS8. 0 and above platforms,it combines Flexbox flexible layout and the MongoDB database under Koajs architecture. The ES3 syntax is used to combine various third-party components such as TabBarIOS navigation bar components. At the same time,the Geohash algorithm and the Latent Factor algorithm are improved on the basis of the predecessors to improve the user experience. Finally,the test shows that the system not only solves the user's pain points,but also has important reference value for the related research based on the framework of iOS and React Native. It can help working holiday operators or practitioners efficiently and accurately complete the establishment of a working holiday system and at the same time can expand and enrich the research perspective and theoretical connotation of working holiday system.
Working holiday is an emerging issue concerned by academic circles at home and abroad. Based on the lack of systematic management in domestic and foreign working holiday market,aiming at the pain point of users' inability to get information quickly and accurately,we propose a method to realize the working holiday system based on React Native framework. The system uses React Native to efficiently and rapidly to develop framework. For iOS8. 0 and above platforms,it combines Flexbox flexible layout and the MongoDB database under Koajs architecture. The ES3 syntax is used to combine various third-party components such as TabBarIOS navigation bar components. At the same time,the Geohash algorithm and the Latent Factor algorithm are improved on the basis of the predecessors to improve the user experience. Finally,the test shows that the system not only solves the user's pain points,but also has important reference value for the related research based on the framework of iOS and React Native. It can help working holiday operators or practitioners efficiently and accurately complete the establishment of a working holiday system and at the same time can expand and enrich the research perspective and theoretical connotation of working holiday system.
引文
[1]吴帼帼.移动应用跨平台开发框架研究及在社保权益中的应用[D].济南:山东大学,2017.
[2] TILKOV S,VINOSKI S. Node. js:using JavaScript to build high-performance netw ork programs[J]. IEEE Internet Computing,2010,14(6):80-83.
[3]梁思率,杨树国,王臻.基于Android和ios平台的高校仪器预约APP设计与实现[J].实验技术与管理,2016,33(5):248-251.
[4]任克强,李晓亮,谢斌.基于Android的手机导航系统设计与实验[J].实验技术与管理,2014,31(5):131-135.
[5]王艳君.基于i OS平台的漫画阅读手机客户端的设计与实现[J].现代电子技术,2014,37(19):121-124.
[6]向隆刚,王德浩,龚健雅.大规模轨迹数据的Geohash编码组织及高效范围查询[J].武汉大学学报:信息科学版,2017,42(1):21-27.
[7]郑静静,叶焱,刘太君,等.基于Flex、Red5和MongoDB的视频直播、录制及存储系统设计[J].计算机应用,2014,34(2):589-592.
[8] NI Jinfeng,RAVISHANKAR C V. Indexing spatio-temporal trajectories w ith efficient polynomial approximations[J].IEEE Transactions on Know ledge and Data Engineering,2007,19(5):663-678.
[9] CUDRE-MAUROUX P,WU E,MADDEN S. TrajStore:an adaptive storage system for very large trajectory data sets[C]//IEEE 26th international conference on data engineering. Long Beach,CA,USA:IEEE,2010:109-120.
[10]王建芳,张朋飞,谷振鹏,等.一种优化的带偏置概率矩阵分解算法[J].小型微型计算机系统,2017,38(5):1081-1085.
[11] ZHANG Zike,LIU Chuang,ZHANG Yicheng,et al. Solving the cold-start problem in recommender systems w ith social tags[J]. Europhysics Letters,2010,92(2):1-6.
[12]杨光.手机App安全性测试初探[J].计算机与网络,2014,40(11):46.
[2] TILKOV S,VINOSKI S. Node. js:using JavaScript to build high-performance netw ork programs[J]. IEEE Internet Computing,2010,14(6):80-83.
[3]梁思率,杨树国,王臻.基于Android和ios平台的高校仪器预约APP设计与实现[J].实验技术与管理,2016,33(5):248-251.
[4]任克强,李晓亮,谢斌.基于Android的手机导航系统设计与实验[J].实验技术与管理,2014,31(5):131-135.
[5]王艳君.基于i OS平台的漫画阅读手机客户端的设计与实现[J].现代电子技术,2014,37(19):121-124.
[6]向隆刚,王德浩,龚健雅.大规模轨迹数据的Geohash编码组织及高效范围查询[J].武汉大学学报:信息科学版,2017,42(1):21-27.
[7]郑静静,叶焱,刘太君,等.基于Flex、Red5和MongoDB的视频直播、录制及存储系统设计[J].计算机应用,2014,34(2):589-592.
[8] NI Jinfeng,RAVISHANKAR C V. Indexing spatio-temporal trajectories w ith efficient polynomial approximations[J].IEEE Transactions on Know ledge and Data Engineering,2007,19(5):663-678.
[9] CUDRE-MAUROUX P,WU E,MADDEN S. TrajStore:an adaptive storage system for very large trajectory data sets[C]//IEEE 26th international conference on data engineering. Long Beach,CA,USA:IEEE,2010:109-120.
[10]王建芳,张朋飞,谷振鹏,等.一种优化的带偏置概率矩阵分解算法[J].小型微型计算机系统,2017,38(5):1081-1085.
[11] ZHANG Zike,LIU Chuang,ZHANG Yicheng,et al. Solving the cold-start problem in recommender systems w ith social tags[J]. Europhysics Letters,2010,92(2):1-6.
[12]杨光.手机App安全性测试初探[J].计算机与网络,2014,40(11):46.