基于社交媒体信息和行政边界地图的野外调查人员个性化路线推荐方法

E. Hardiyanto
{"title":"基于社交媒体信息和行政边界地图的野外调查人员个性化路线推荐方法","authors":"E. Hardiyanto","doi":"10.34123/icdsos.v2021i1.130","DOIUrl":null,"url":null,"abstract":"Changes in business processes in pandemic conditions are a must. The field survey were most affected, not only the interview process but also the route selection to survey location. To support the field survey officer, it is necessary to provide alternative route choices to the survey location as fast as possible. This research proposed a methodology that combines three information source, administrative border maps, google maps services, and information from social media that elaborated to provide best recommendation route to the assigned survey location. The combination of three different sources can enhance the current existing route that only relies on google map services. Our mechanism was tested on custom my maps application provided by Google and evaluated using system usability scale. This research aims to give the personalized route to field survey officers based on the assigned survey location and information from social media. The limitation of this research is that the social media channels used are still few, in the future, this research can be leveraged by integrating other platforms owned by the government and other public services to enrich the information.","PeriodicalId":151043,"journal":{"name":"Proceedings of The International Conference on Data Science and Official Statistics","volume":"88 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-01-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Personalized Route Recommendation Method for Field Survey Officers using Social Media Information and Administrative Border Maps\",\"authors\":\"E. Hardiyanto\",\"doi\":\"10.34123/icdsos.v2021i1.130\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Changes in business processes in pandemic conditions are a must. The field survey were most affected, not only the interview process but also the route selection to survey location. To support the field survey officer, it is necessary to provide alternative route choices to the survey location as fast as possible. This research proposed a methodology that combines three information source, administrative border maps, google maps services, and information from social media that elaborated to provide best recommendation route to the assigned survey location. The combination of three different sources can enhance the current existing route that only relies on google map services. Our mechanism was tested on custom my maps application provided by Google and evaluated using system usability scale. This research aims to give the personalized route to field survey officers based on the assigned survey location and information from social media. The limitation of this research is that the social media channels used are still few, in the future, this research can be leveraged by integrating other platforms owned by the government and other public services to enrich the information.\",\"PeriodicalId\":151043,\"journal\":{\"name\":\"Proceedings of The International Conference on Data Science and Official Statistics\",\"volume\":\"88 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-01-04\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of The International Conference on Data Science and Official Statistics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.34123/icdsos.v2021i1.130\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of The International Conference on Data Science and Official Statistics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.34123/icdsos.v2021i1.130","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

在大流行的情况下,必须改变业务流程。实地调查中受影响最大的不仅是访谈过程,还有到调查地点的路线选择。为了支持现场测量人员,有必要尽快提供到测量地点的替代路线选择。这项研究提出了一种方法,结合了三个信息源,行政边界地图,谷歌地图服务,以及来自社交媒体的信息,详细阐述了提供最佳推荐路线到指定的调查地点。三种不同来源的结合可以增强目前仅依赖谷歌地图服务的现有路线。我们的机制在Google提供的自定义地图应用程序上进行了测试,并使用系统可用性量表进行了评估。本研究旨在根据指定的调查地点和来自社交媒体的信息,为现场调查人员提供个性化的路线。本研究的局限性在于使用的社交媒体渠道仍然较少,未来本研究可以通过整合政府拥有的其他平台和其他公共服务来丰富信息。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Personalized Route Recommendation Method for Field Survey Officers using Social Media Information and Administrative Border Maps
Changes in business processes in pandemic conditions are a must. The field survey were most affected, not only the interview process but also the route selection to survey location. To support the field survey officer, it is necessary to provide alternative route choices to the survey location as fast as possible. This research proposed a methodology that combines three information source, administrative border maps, google maps services, and information from social media that elaborated to provide best recommendation route to the assigned survey location. The combination of three different sources can enhance the current existing route that only relies on google map services. Our mechanism was tested on custom my maps application provided by Google and evaluated using system usability scale. This research aims to give the personalized route to field survey officers based on the assigned survey location and information from social media. The limitation of this research is that the social media channels used are still few, in the future, this research can be leveraged by integrating other platforms owned by the government and other public services to enrich the information.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信