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

Yafei Li*, Dingming Wu, Jianliang XU, Koon Kau CHOI, Weifeng Su

*Corresponding author for this work

Research output: Chapter in book/report/conference proceedingConference contributionpeer-review

7 Citations (Scopus)

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.

Original languageEnglish
Title of host publicationCIKM 2012 - Proceedings of the 21st ACM International Conference on Information and Knowledge Management
Pages2643-2646
Number of pages4
DOIs
Publication statusPublished - 2012
Event21st ACM International Conference on Information and Knowledge Management, CIKM 2012 - Maui, HI, United States
Duration: 29 Oct 20122 Nov 2012

Publication series

NameACM International Conference Proceeding Series

Conference

Conference21st ACM International Conference on Information and Knowledge Management, CIKM 2012
Country/TerritoryUnited States
CityMaui, HI
Period29/10/122/11/12

Scopus Subject Areas

  • Software
  • Human-Computer Interaction
  • Computer Vision and Pattern Recognition
  • Computer Networks and Communications

User-Defined Keywords

  • query processing
  • social networks
  • spatial databases

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