Questcrowd: a location-based question answering system with participation incentives

Autor:	Athina Markopoulou, Chandra S. Jammi, Minas Gjoka, Venkata S.K. Pulla, Prashant Tiwari
Rok vydání:	2013
Předmět:	Social graph Knowledge management Computer science business.industry media_common.quotation_subject Incentive Knowledge extraction Reputation system Key (cryptography) Question answering Quality (business) Set (psychology) business media_common
Zdroj:	2013 IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS).
Popis:	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.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::ed36835d3f8bbd499f408e27700c95d0 https://doi.org/10.1109/infcomw.2013.6970746 Zobrazit plný text záznamu