{"title":"旅游城市中心位置的形式化与自动化检测","authors":"R. Akhundov, A. Filchenkov, V. Gorovoy","doi":"10.23919/FRUCT.2018.8588109","DOIUrl":null,"url":null,"abstract":"Nowadays, more and more people tend to plan and book their vacation using services such as Yandex. Travel, Booking.com or TripAdvisor. When most of the tourists are booking a hotel, they want to know, where the touristic center of city is located. However, it is an informal concept. In this work we conducted a survey to obtain the ground truth on what people thought to be a touristic city centre of their city, and then approximated it with the mixture of Gaussians (ellipses). Finally, we have suggested an algorithm to predict a tourist city centre location given information on hotels in that city.","PeriodicalId":183812,"journal":{"name":"2018 23rd Conference of Open Innovations Association (FRUCT)","volume":"44 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Formalization and Automated Detection of Tourist City Center Location\",\"authors\":\"R. Akhundov, A. Filchenkov, V. Gorovoy\",\"doi\":\"10.23919/FRUCT.2018.8588109\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Nowadays, more and more people tend to plan and book their vacation using services such as Yandex. Travel, Booking.com or TripAdvisor. When most of the tourists are booking a hotel, they want to know, where the touristic center of city is located. However, it is an informal concept. In this work we conducted a survey to obtain the ground truth on what people thought to be a touristic city centre of their city, and then approximated it with the mixture of Gaussians (ellipses). Finally, we have suggested an algorithm to predict a tourist city centre location given information on hotels in that city.\",\"PeriodicalId\":183812,\"journal\":{\"name\":\"2018 23rd Conference of Open Innovations Association (FRUCT)\",\"volume\":\"44 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 23rd Conference of Open Innovations Association (FRUCT)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.23919/FRUCT.2018.8588109\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 23rd Conference of Open Innovations Association (FRUCT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.23919/FRUCT.2018.8588109","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Formalization and Automated Detection of Tourist City Center Location
Nowadays, more and more people tend to plan and book their vacation using services such as Yandex. Travel, Booking.com or TripAdvisor. When most of the tourists are booking a hotel, they want to know, where the touristic center of city is located. However, it is an informal concept. In this work we conducted a survey to obtain the ground truth on what people thought to be a touristic city centre of their city, and then approximated it with the mixture of Gaussians (ellipses). Finally, we have suggested an algorithm to predict a tourist city centre location given information on hotels in that city.