http://dx.doi.org/10.1145/2396761.2398713">
 

Document Type

Conference Paper

Department/Unit

Department of Computer Science

Title

Spatial-aware interest group queries in location-based social networks

Language

English

Abstract

Location-based social networks, such as Foursquare and Facebook Places, are bridging the gap between the physical world and online social networking services through acquired user locations. Some social networks released check-in services that allow users to share their visiting locations with their friends. In this paper, users' interests are modeled by check-in actions. We propose a new spatial-aware interest group (SIG) query that retrieves a user group of size k where every user is highly interested in the query keyword and also spatially close to each other. An efficient algorithm AIR based on the IR-tree is proposed for the processing of SIG queries. Furthermore, an optimization is developed and achieves a much better performance than the baseline algorithm. © 2012 ACM.

Keywords

query processing, social networks, spatial databases

Publication Date

2012

Source Publication Title

Proceedings of the 2012 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology Workshops

Start Page

2643

End Page

2646

Conference Location

Hawaii, United States

Publisher

ACM

ISBN (print)

9781450311564

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