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

fYear

2013

fDate

14-19 April 2013

Firstpage

75

Lastpage

76

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer Communications Workshops (INFOCOM WKSHPS), 2013 IEEE Conference on

Conference_Location

Turin

Print_ISBN

978-1-4799-0055-8

Type

conf

DOI

10.1109/INFCOMW.2013.6970746

Filename

6970746