Abstract
The widespread proliferation of location-acquisition techniques and GPS-embedded mobile devices resulted in the generation of geo-tagged data at unprecedented scale and have essentially enhanced the user experience in location-based services associated with social networks. Such location-based social networks allow people to record and share their location and are a rich source of information which can be exploited to study people's various attributes and characteristics and can provide various Geo-Social (GS) services. In this demonstration, we propose a new type of query called Top-k Geo-Social (TGS) query, which enriches the semantics of the conventional spatial query by introducing a social relevance attribute. Similarly, users formulate their TGS queries and view the results through browser-based client side interface. On the server side, three approaches namely, 1) Social-First 2) Spatial-First and 3) Hybrid are proposed to efficiently process TGS queries.
Original language | English |
---|---|
Title of host publication | Proceedings of the 26th International Conference on World Wide Web |
Editors | Eugene Agichtein, Evgeniy Gabrilovich |
Place of Publication | Geneva Switzerland |
Publisher | International World Wide Web Conferences Steering Committee |
Pages | 1379-1381 |
Number of pages | 3 |
ISBN (Electronic) | 9781450349147 |
DOIs | |
Publication status | Published - 2017 |
Event | International World Wide Web Conference 2017 - Perth Convention and Exhibition Centre (PCEC), Perth, Australia Duration: 3 Apr 2017 → 7 Apr 2017 Conference number: 26th http://www2017.com.au/ http://www.www2017.com.au/ |
Conference
Conference | International World Wide Web Conference 2017 |
---|---|
Abbreviated title | WWW 2017 |
Country | Australia |
City | Perth |
Period | 3/04/17 → 7/04/17 |
Internet address |
Keywords
- Geographic information systems
- Geosocial Networking
- Geosocial query
- Graph database
- Social Networks
- Spatio-Social Applications