Title :
Questcrowd: a location-based question answering system with participation incentives
Author :
Pulla, Venkata S. K. ; Jammi, Chandra S. ; Tiwari, Pratiksha ; Gjoka, Minas ; Markopoulou, Athina
Author_Institution :
CalIT2, Univ. of California, Irvine, Irvine, CA, USA
Abstract :
We present QuestCrowd, a location-based system that uses crowd-sourcing to answer simple day-to-day questions. QuestCrowd supports realtime questions along with questions that can be answered using factual information by people not present at the location. Key design mechanisms that set it apart from similar location-based systems include (i) a reputation system that motivates quality contributors by rewarding high quality answers (ii) a forwarding mechanism that leverages existing social graph relations to increase participation.
Keywords :
graph theory; mobile computing; outsourcing; question answering (information retrieval); QuestCrowd; crowdsourcing; day-to-day questions; forwarding mechanism; location-based question answering system; participation incentives; quality contributors; realtime questions; reputation system; social graph relations; Androids; Humanoid robots; Knowledge discovery; Search engines; Servers; Social network services; Subscriptions;
Conference_Titel :
Computer Communications Workshops (INFOCOM WKSHPS), 2013 IEEE Conference on
Conference_Location :
Turin
Print_ISBN :
978-1-4799-0055-8
DOI :
10.1109/INFCOMW.2013.6970746
