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Quantising contribution effort in online communities

Burel, Gregoire and He, Yulan (2014). Quantising contribution effort in online communities. In: WWW '14 Companion: Proceedings of the 23rd International Conference on World Wide Web, pp. 549–550.

DOI (Digital Object Identifier) Link: https://doi.org/10.1145/2567948.2576949
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Abstract

We describe the Joint Effort-Topic (JET) model and the Author Joint Effort-Topic (aJET) model that estimate the effort required for users to contribute on different topics. We propose to learn word-level effort taking into account term preference over time and use it to set the priors of our models. Since there is no gold standard which can be easily built, we evaluate them by measuring their abilities to validate expected behaviours such as correlations between user contributions and the associated effort.

Item Type: Conference or Workshop Item
Copyright Holders: 2014 International World Wide Web Conference Committee (IW3C2)
ISBN: 1-4503-2745-1, 978-1-4503-2745-9
Project Funding Details:
Funded Project NameProject IDFunding Body
Robust257859EC-FP7
Not SetGJHZ20120613110641217Shenzhen International Cooperation Research Funding
Keywords: natural language processing; text analysis
Academic Unit/School: Faculty of Science, Technology, Engineering and Mathematics (STEM) > Knowledge Media Institute (KMi)
Faculty of Science, Technology, Engineering and Mathematics (STEM)
Interdisciplinary Research Centre: Centre for Research in Computing (CRC)
Related URLs:
Item ID: 44017
Depositing User: Kay Dave
Date Deposited: 03 Sep 2015 09:23
Last Modified: 04 Oct 2016 11:48
URI: http://oro.open.ac.uk/id/eprint/44017
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