Name
Abstract | ||
|---|---|---|
Location-based queries are quickly becoming ubiquitous. However, traditional search engines perform poorly for a significant fraction of location-based queries, which are non-factual (i.e., subjective, relative, or multi-dimensional). As an alternative, we investigate the feasibility of answering location-based queries by crowdsourcing over Twitter. More specifically, we study the effectiveness of employing location-based services (such as Foursquare) for finding appropriate people to answer a given location-based query. Our findings give insights for the feasibility of this approach and highlight some research challenges in social search engines. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1109/PERCOMW.2011.5766944 | Pervasive Computing and Communications Workshops |
Keywords | Field | DocType |
query processing,search engines,social networking (online),Foursquare service,Twitter,location-based query crowdsourcing,location-based services,social search engines | World Wide Web,Search engine,Information retrieval,Computer science,Social search,Crowdsourcing,Location-based service | Conference |
ISBN | Citations | PageRank |
978-1-61284-936-2 | 31 | 1.64 |
References | Authors | |
9 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Muhammed Fatih Bulut | 1 | 60 | 6.81 |
| Yavuz Selim Yilmaz | 2 | 89 | 5.47 |
| Murat Demirbas | 3 | 1670 | 102.80 |