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Uchenye Zapiski Kazanskogo Universiteta. Seriya Fiziko-Matematicheskie Nauki, 2013, Volume 155, Book 4, Pages 118–133 (Mi uzku1247)  

Learning to predict closed questions on Stack Overflow

G. Lezinaab, A. Kuznetsovab, P. Braslavskicb

a Ural Federal University, Ekaterinburg, Russia
b SKB Kontur, Ekaterinburg, Russia
c Ural Federal University, Ekaterinburg, Russia
References:
Abstract: The paper deals with the problem of predicting whether the user's question will be closed by the moderator on Stack Overflow, a popular question answering service devoted to software programming. The task along with data and evaluation metrics was offered as an open machine learning competition on Kaggle platform. To solve this problem, we employed a wide range of classification features related to users, their interactions, and post content. Classification was carried out using several machine learning methods. According to the results of the experiment, the most important features are characteristics of the user and topical features of the question. The best results were obtained using Vowpal Wabbit – an implementation of online learning based on stochastic gradient descent. Our results are among the best ones in overall ranking, although they were obtained after the official competition was over.
Keywords: community question answering systems, large-scale classification, question classification.
Received: 10.09.2013
Document Type: Article
UDC: 004.852
Language: English
Citation: G. Lezina, A. Kuznetsov, P. Braslavski, “Learning to predict closed questions on Stack Overflow”, Uchenye Zapiski Kazanskogo Universiteta. Seriya Fiziko-Matematicheskie Nauki, 155, no. 4, Kazan University, Kazan, 2013, 118–133
Citation in format AMSBIB
\Bibitem{LezKuzBra13}
\by G.~Lezina, A.~Kuznetsov, P.~Braslavski
\paper Learning to predict closed questions on Stack Overflow
\serial Uchenye Zapiski Kazanskogo Universiteta. Seriya Fiziko-Matematicheskie Nauki
\yr 2013
\vol 155
\issue 4
\pages 118--133
\publ Kazan University
\publaddr Kazan
\mathnet{http://mi.mathnet.ru/uzku1247}
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  • https://www.mathnet.ru/eng/uzku/v155/i4/p118
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