Mining Context-Aware Significant Travel Sequences from Geotagged Social Media
DOI:
https://doi.org/10.1609/aaai.v26i1.8407Keywords:
photo collections, trip planning, context aware queryAbstract
Geotagged photos of users on social media site, i.e., Flickr provide plentiful location-based data, which has been exploited for location-based services, such as mapping geotags to places and recommendation of personalized landmarks. As users’ preferences to visit a location or multiple locations in a certain sequence could be affected by their current temporal, and weather context. This paper considers the problem of mining context-aware significant semantic travel sequences from geotagged photos.
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Published
2021-09-20
How to Cite
Majid, A., Chen, L., Mirza, H., Hussain, I., & Chen, G. (2021). Mining Context-Aware Significant Travel Sequences from Geotagged Social Media. Proceedings of the AAAI Conference on Artificial Intelligence, 26(1), 2443-2444. https://doi.org/10.1609/aaai.v26i1.8407
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Student Abstract Track