Quantising contribution effort in online communities

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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.

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Details

Publication date7 Apr 2014
Publication titleWWW 2014 Companion - Proceedings of the 23rd International Conference on World Wide Web
Place of PublicationNew York, NY (US)
PublisherACM
Pages549-550
Number of pages2
ISBN (Print)978-1-4503-2745-9
Original languageEnglish
Event23rd International Conference on World Wide Web - Seoul, Korea, Republic of

Conference

Conference23rd International Conference on World Wide Web
Abbreviated titleWWW 2014
CountryKorea, Republic of
CitySeoul
Period7/04/1411/04/14

DOI

Employable Graduates; Exploitable Research

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