Detection of tourists attraction points using Instagram profiles | Zendy

Ksenia Mukhina | Zendy; Stepan V. Rakitin | Zendy; Alexander Visheratin | Zendy

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Detection of tourists attraction points using Instagram profiles

Author(s) -

Ksenia Mukhina,

Stepan V. Rakitin,

Alexander Visheratin

Publication year - 2017

Publication title -

procedia computer science

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.334

H-Index - 76

ISSN - 1877-0509

DOI - 10.1016/j.procs.2017.05.131

Subject(s) - computer science , attraction , identification (biology) , saint petersburg , tourist attraction , tourism , advertising , data science , geography , business , ecology , philosophy , linguistics , russian federation , archaeology , regional science , biology

During vacations, people try to explore new places, but it is impossible for tourists to see all interesting locations. In this paper, we shed the light on differences between favorite places of tourists and locals using Instagram profiles. The time windows based identification method is proposed to distinguish visitors from residents. The list of potential tourists’ attraction points in Saint Petersburg was obtained by analysis of locals’ popular places.

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