A Location Prediction Methods: state of art

aml Ismaiel, Walaa K. Gad, T. Mostafa, N. Badr
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Abstract

The rapid use of social media made location prediction the key to research studies based on-location services like; advertising, recommendations, climatological forecast, and security system. Locations are the center of information for these applications. According to millions of users who post tweets every day, Twitter is known as one of the most important and familiar social media blogs. Depending on the importance of catching the location of the users and the rapid usage of Twitter, Location prediction on Twitter has been a point of research in many studies. This survey provides a comprehensive overview picture of the prediction of the user's location on Twitter. that focuses on the home location prediction and tweet location prediction. This occurs by; first, defining these two kinds of research and the inputs of these research views that are content, network, and context. Then, reviewing existing location-prediction techniques and the latent challenges. Finally, the conclusion of the survey and a list of the future research directions.
A位置预测方法:最新技术
社交媒体的快速使用使得位置预测成为基于位置服务的研究的关键,例如;广告、推荐、气候预报、安全系统。位置是这些应用程序的信息中心。据每天发布推文的数百万用户称,Twitter是最重要、最熟悉的社交媒体博客之一。由于捕捉用户位置的重要性和Twitter的快速使用,Twitter上的位置预测已经成为许多研究的一个研究点。这项调查提供了对Twitter上用户位置预测的全面概述。重点研究了家庭位置预测和推文位置预测。这发生在;首先,定义这两种研究以及这些研究观点的输入内容、网络和语境。然后,回顾了现有的位置预测技术和潜在的挑战。最后,对调查结果进行了总结,并对未来的研究方向进行了展望。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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