Detecting places of interest using social media

Van Canneyt, Steven, Schockaert, Steven ORCID: https://orcid.org/0000-0002-9256-2881, Van Laere, Olivier and Dhoedt, Bart 2012. Detecting places of interest using social media. Presented at: 2012 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology (WI-IAT), Macau, China, 4-7 December 2012. Web Intelligence and Intelligent Agent Technology (WI-IAT), 2012 IEEE/WIC/ACM International Conferences on. , vol.1 IEEE, pp. 447-451. 10.1109/WI-IAT.2012.19

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Abstract

Place recommender systems are increasingly being used to find places of a given type that are close to a user-specified location. As it is important for these systems to use an up-to-date database with a wide coverage, there is a need for techniques that are capable of expanding place databases in an automated way. On the other hand, social media are a rich source of geographically distributed information. In this paper, we therefore propose an approach to discover new instances of a given place type by exploiting correlations between terms and locations in geotagged social media. For a variety of place types, our approach is able to find places which are not yet included in popular place databases such as Foursquare or Google Places.

Item Type:	Conference or Workshop Item (Paper)
Status:	Published
Schools:	Computer Science & Informatics
Subjects:	H Social Sciences > HM Sociology Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Publisher:	IEEE
ISBN:	9781467360579
Last Modified:	27 Oct 2022 10:01
URI:	https://orca.cardiff.ac.uk/id/eprint/68602

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