Development of Answer Validation System Using Responders’ Attributes and Crowd Ranking

Autor:	Tolulope Adebayo, Mercy Adebisi, Bolanle Adefowoke Ojokoh, Fatai Sunmola, Akintoba Emmanuel Akinwonmi
Rok vydání:	2021
Předmět:	Information retrieval business.industry Computer science media_common.quotation_subject Borda count Usability Crowdsourcing Ranking User experience design Respondent Question answering Quality (business) business media_common
Zdroj:	Journal of Service Science and Management. 14:382-398
ISSN:	1940-9907 1940-9893
Popis:	Crowdsourcing has found a wide range of application in Community Question Answering (CQA). However, one of its biggest challenges is the need to address the quality of crowd answers contributions. Therefore, this work proposed a system that seeks to validate answers to questions provided by respondents using responders’ attributes and crowd ranking technique. Weights were assigned to respondent answers based on their academic records, experience and understanding of the question to obtain valid answers. Thereafter, valid answers were ranked by the crowd using Borda Count algorithm. The proposed system was evaluated using Usability and User experience (UX) measurement. The result obtained demonstrated the effectiveness of the applied technique.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::04245d771a1d93cd4a3db04dcc42cbe6 https://doi.org/10.4236/jssm.2021.143024 Zobrazit plný text záznamu