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Published on : Friday, September 8, 2017
To test the algorithm, the team had analyzed Instagram photos captured in Saint Petersburg.
Thereafter, they complied a list of museums, streets, cafes, event venues preferred by the residents of the northern capital of Russia thereby offering local suggestions to tourists. The outcome of the research had been presented at The International Conference on Computational Science and published in one of the leading modern science journals.
People tend to click memorable moments or places.
This is the reason why, on social networks including Instagram are constantly emerging as more popular. There are over 700 million active Instagram users all across the world.
In a majority of the cases, people post photos either since it is their very first time of visiting a place, or, they might be travelling here more often.
Programmers at the eScience Research Institute at ITMO University had discovered a way to distinguish between Instagram users living in a city and visiting tourists based on how they post on social media platforms. The researchers discovered locations that were most admired by the residents of St. Petersburg.
Alexander Visheratin, engineer and head of research at eScience Institute at ITMO University said that by identifying the favorite places, the experiences of tourists would be diversified nicely.
To remove the input of tourists from the analysis, scientists opted two months of the year with the least number of tourists, that is, February and November and also collected all the posts from Instagram taken during that time in St. Petersburg.
Based on each of the photos posted, the programmers analyzed the profiles of all the users who had posted them.
Tourists would generally post a series of pictures made in the center of the city along the main street. And, geotags of the photos of the residents were scattered throughout St. Petersburg. With an intention to detect the city residents more appropriately, the scientists utilized official tourist statistics.
The information derived from the city administration reveal that the largest number of tourists comes from the European Union (amounting to about 32%).