2010 ExpertIdentificationinCommunity
- (Pal & Konstan, 2010) ⇒ Aditya Pal, and Joseph A. Konstan. (2010). “Expert Identification in Community Question Answering: Exploring Question Selection Bias.” In: Proceedings of the 19th ACM International Conference on Information and knowledge management. doi:10.1145/1871437.1871658
Subject Headings: Community-based Question Answering Service
Notes
Cited By
- http://scholar.google.com/scholar?q=%22Expert+identification+in+community+question+answering%3A+exploring+question+selection+bias%22+2010
- http://dl.acm.org/citation.cfm?id=1871437.1871658&preflayout=flat#citedby
Quotes
Author Keywords
Abstract
Community Question Answering (CQA) services enables users to ask and answer questions. In these communities, there are typically a small number of experts amongst the large population of users. We study which questions a user select for answering and show that experts prefer answering questions where they have a higher chance of making a valuable contribution. We term this preferential selection as question selection bias and propose a mathematical model to estimate it. Our results show that using Gaussian classification models we can effectively distinguish experts from ordinary users over their selection biases. In order to estimate these biases, only a small amount of data per user is required, which makes an early identification of expertise a possibility. Further, our study of bias evolution reveals that they do not show significant changes over time indicating that they emanates from the intrinsic characteristics of users.
References
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Author | volume | Date Value | title | type | journal | titleUrl | doi | note | year | |
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2010 ExpertIdentificationinCommunity | Joseph A. Konstan Aditya Pal | Expert Identification in Community Question Answering: Exploring Question Selection Bias | 10.1145/1871437.1871658 |