ABSTRACT
Twitter and Foursquare are two well-connected platforms for sharing information where growing numbers of users post location-related messages. In contrast to the longitude-latitude geotags commonly used online, e.g., on photos and tweets, new place-tags containing category information show more human-readable high-level information rather than a pair of coordinates. This grants an opportunity for better understanding users' physical locations which can be used as context to facilitate other applications, e.g., location context-aware advertisement. In this paper, we verify the assumption that users' current trails contain cues of their future routes. The results from the preliminary experiments show promising performance of a basic Markov Chain-based model.
- L. Backstrom, E. Sun, and C. Marlow. Find me if you can: improving geographical prediction with social and spatial proximity. In WWW '10, pages 61--70, 2010. Google ScholarDigital Library
- T. Kurashima, T. Iwata, G. Irie, and K. Fujimura. Travel route recommendation using geotags in photo sharing sites. In CIKM '10, pages 579--588, 2010. Google ScholarDigital Library
- A. Sadilek, H. Kautz, and J. P. Bigham. Finding Your Friends and Following Them to Where You Are Categories and Subject Descriptors. In WSDM '12, pages 723--732, 2012. Google ScholarDigital Library
Index Terms
- Want a coffee?: predicting users' trails
Recommendations
You are where you tweet: a content-based approach to geo-locating twitter users
CIKM '10: Proceedings of the 19th ACM international conference on Information and knowledge managementWe propose and evaluate a probabilistic framework for estimating a Twitter user's city-level location based purely on the content of the user's tweets, even in the absence of any other geospatial cues. By augmenting the massive human-powered sensing ...
The where in the tweet
CIKM '11: Proceedings of the 20th ACM international conference on Information and knowledge managementTwitter is a widely-used social networking service which enables its users to post text-based messages, so-called tweets. POI tags on tweets can show more human-readable high-level information about a place rather than just a pair of coordinates. In ...
Geolocated Social Media Posts are Happier: Understanding the Characteristics of Check-in Posts on Twitter
WebSci '23: Proceedings of the 15th ACM Web Science Conference 2023The increasing prevalence of location sharing features on social media has enabled researchers to ground computational social science research using geolocated data, affording opportunities to study human mobility, the impact of real-world events, and ...
Comments