Predicting website correctness from consensus analysis
|Predicting website correctness from consensus analysis|
|Author(s)||O'Hara S., Bylander T.|
|Published in||Proceeding of the 2012 ACM Research in Applied Computation Symposium, RACS 2012|
|Keyword(s)||Answer consolidation, Intelligent search, Question answering, Text retrieval, Website reliability (Extra: Consensus analysis, Intelligent search, Question Answering, Text retrieval, Wikipedia, NASA, Research, Search engines, Websites)|
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|Web||Ask, Bing, Google (PDF), Yahoo!|
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Predicting website correctness from consensus analysis is a 2012 conference paper written in English by O'Hara S., Bylander T. and published in Proceeding of the 2012 ACM Research in Applied Computation Symposium, RACS 2012.
Websites vary in terms of reliability. One could assume that NASA's website will be very accurate for Astronomy questions. Wikipedia is less accurate but is still more accurate than a generic Google search. In this research we ask a large number of "factoid" questions to several different search engines. We collect those responses and determine the correctness of each candidate answer. The answers are grouped by website source, and are compared to other websites to infer website correctness. Copyright 2012 ACM.
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