Qing Fan, Lang Jiao, Chengcheng Dai, Ziqiang Deng, Rui Zhang
{"title":"Golang-Based POI Discovery and Recommendation in Real Time","authors":"Qing Fan, Lang Jiao, Chengcheng Dai, Ziqiang Deng, Rui Zhang","doi":"10.1109/MDM.2019.00114","DOIUrl":null,"url":null,"abstract":"Grab is a Singapore-based technology company offering ride-hailing transport service, food delivery and payment solutions for Southeast Asia. One crucial part of transport service is to provide users with desired POIs as pickups and dropoffs based on their locations with as less effort as possible, which can be measured by the clicking times on the screen before clicking the booking button. As a geo-based service, POI (point of interest) discovery and recommendation involves a lot of geometric calculation and high traffic throughput. It is important to ensure the high availability and stability of POI discovery and recommendation. We adapt Golang-based service architecture to ensure the stability of the backend system. Elastic search is utilized to organize millions of POI data on the database layer. Redis is used to shorten the response time of each request as cache. In this paper, we will introduce our Golang-based service architecture and how we tackle the online challenges by deploying cutting-edge techniques such as Elastic Search and Redis according to unique business scenarios.","PeriodicalId":241426,"journal":{"name":"2019 20th IEEE International Conference on Mobile Data Management (MDM)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 20th IEEE International Conference on Mobile Data Management (MDM)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MDM.2019.00114","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 5
Abstract
Grab is a Singapore-based technology company offering ride-hailing transport service, food delivery and payment solutions for Southeast Asia. One crucial part of transport service is to provide users with desired POIs as pickups and dropoffs based on their locations with as less effort as possible, which can be measured by the clicking times on the screen before clicking the booking button. As a geo-based service, POI (point of interest) discovery and recommendation involves a lot of geometric calculation and high traffic throughput. It is important to ensure the high availability and stability of POI discovery and recommendation. We adapt Golang-based service architecture to ensure the stability of the backend system. Elastic search is utilized to organize millions of POI data on the database layer. Redis is used to shorten the response time of each request as cache. In this paper, we will introduce our Golang-based service architecture and how we tackle the online challenges by deploying cutting-edge techniques such as Elastic Search and Redis according to unique business scenarios.
Grab是一家总部位于新加坡的科技公司,为东南亚提供叫车运输服务、食品配送和支付解决方案。交通服务的一个关键部分是根据用户的位置,尽可能少地为他们提供所需的接送点,这可以通过点击屏幕上的点击时间来衡量,然后点击预订按钮。作为一种基于地理的服务,POI (point of interest)的发现和推荐涉及大量的几何计算和高流量吞吐量。确保POI发现和推荐的高可用性和稳定性非常重要。采用基于golang的服务架构,保证后端系统的稳定性。利用弹性搜索在数据库层组织数百万POI数据。Redis用于缩短每个请求作为缓存的响应时间。在本文中,我们将介绍我们基于golang的服务架构,以及我们如何根据独特的业务场景,通过部署Elastic Search和Redis等尖端技术来应对在线挑战。