{"title":"A Location Prediction Methods: state of art","authors":"aml Ismaiel, Walaa K. Gad, T. Mostafa, N. Badr","doi":"10.21608/ijicis.2021.84159.1111","DOIUrl":null,"url":null,"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.","PeriodicalId":244591,"journal":{"name":"International Journal of Intelligent Computing and Information Sciences","volume":"126 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Intelligent Computing and Information Sciences","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.21608/ijicis.2021.84159.1111","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
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.