Modelling question selection behaviour in online communities

Grégoire Burel, Paul Mulholland, Yulan He, Harith Alani

Research output: Chapter in Book/Published conference outputConference publication


Value of online Question Answering (QandA) communities is driven by the question-answering behaviour of its members. Finding the questions that members are willing to answer is therefore vital to the effcient operation of such communities. In this paper, we aim to identify the parameters that cor- relate with such behaviours. We train different models and construct effective predictions using various user, question and thread feature sets. We show that answering behaviour can be predicted with a high level of success.

Original languageEnglish
Title of host publicationWWW'15 Companion - Proceedings of the 24th International Conference on World Wide Web
Place of PublicationNew York, NY (US)
Number of pages2
ISBN (Print)978-1-4503-3473-0
Publication statusPublished - 18 May 2015
Event24th International Conference on World Wide Web - Florence, Italy
Duration: 18 May 201522 May 2015


Conference24th International Conference on World Wide Web
Abbreviated titleWWW 2015

Bibliographical note

Funding: EC-FP7 project DecarboNet (grant number 265454).


  • online communities
  • social media
  • social QandA platforms
  • user behaviour

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