Name
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. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.23919/FRUCT.2018.8588109 | 2018 23rd Conference of Open Innovations Association (FRUCT) |
Keywords | Field | DocType |
tourist city centre location given information,hotel booking,TripAdvisor,Yandex,Gaussian mixture,vacation booking,tourist city center location formalization | Approximation algorithm,City centre,Computer science,Operations research,Tourism,Ground truth,Mixture model | Conference |
ISSN | ISBN | Citations |
2305-7254 | 978-1-5386-6943-3 | 0 |
PageRank | References | Authors |
0.34 | 0 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ruslan Akhundov | 1 | 0 | 0.34 |
| Andrey Filchenkov | 2 | 46 | 15.80 |
| Vladimir Gorovoy | 3 | 0 | 0.34 |