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Fuzzy-Based Answer Ranking in Question Answering Communities

Fuzzy-Based Answer Ranking in Question Answering Communities

B.A. Ojokoh, P.I. Ayokunle
Copyright: © 2012 |Volume: 3 |Issue: 3 |Pages: 17
ISSN: 1947-9077|EISSN: 1947-9085|EISBN13: 9781466611658|DOI: 10.4018/jdls.2012070105
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MLA

Ojokoh, B.A., and P.I. Ayokunle. "Fuzzy-Based Answer Ranking in Question Answering Communities." IJDLS vol.3, no.3 2012: pp.47-63. http://doi.org/10.4018/jdls.2012070105

APA

Ojokoh, B. & Ayokunle, P. (2012). Fuzzy-Based Answer Ranking in Question Answering Communities. International Journal of Digital Library Systems (IJDLS), 3(3), 47-63. http://doi.org/10.4018/jdls.2012070105

Chicago

Ojokoh, B.A., and P.I. Ayokunle. "Fuzzy-Based Answer Ranking in Question Answering Communities," International Journal of Digital Library Systems (IJDLS) 3, no.3: 47-63. http://doi.org/10.4018/jdls.2012070105

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Abstract

Owing to the vast amount of information readily available on the World Wide Web, there has been a significant increase in the number of online question answering (QA) systems. A branch of QA systems that has seen such remarkable growth is the community-based question answering (CQA) systems. In this paper, the authors propose a method that is proactive enough to provide answers to questions and additionally offers word definitions, with the aim of reducing the time lag that results from askers having to wait for answers to a question from various users. Additionally, it designs a method to evaluate and predict the quality of an answer in a CQA setting, based on experts’ rating. It uses fuzzy logic to aggregate the ratings and provide ranked answers in return. Experimental results with computing-related datasets from Yahoo! Answers demonstrate the effectiveness of the proposed techniques.

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