Modelling Experts Behaviour in Q&A Communities to Predict Worthy Discussions

Thiago B. Procaci, Sean W.M. Siqueira, Bernardo Pereira Nunes, Terhi Nurmikko-Fuller

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    9 Citations (Scopus)

    Abstract

    This paper investigates expert behaviour in Q&A communities in order to understand their influence in online discussions. Our evaluation shows that experts are more likely to provide help than non-experts, and when they participate in a discussion, the quality and length of the discussions tend to increase. In addition, we propose the usage of two models (Artificial Neural Network and Stochastic Gradient Boosting) to predict worthy discussions in the community. The results show that some adjustments in the models' parameters and in the input data can significantly improve the quality of the predictions.

    Original languageEnglish
    Title of host publicationProceedings - IEEE 17th International Conference on Advanced Learning Technologies, ICALT 2017
    EditorsRonghuai Huang, Radu Vasiu, Kinshuk, Demetrios G Sampson, Nian-Shing Chen, Maiga Chang
    PublisherInstitute of Electrical and Electronics Engineers Inc.
    Pages291-295
    Number of pages5
    ISBN (Electronic)9781538638705
    DOIs
    Publication statusPublished - 3 Aug 2017
    Event17th IEEE International Conference on Advanced Learning Technologies, ICALT 2017 - Timisoara, Romania
    Duration: 3 Jul 20177 Jul 2017

    Publication series

    NameProceedings - IEEE 17th International Conference on Advanced Learning Technologies, ICALT 2017

    Conference

    Conference17th IEEE International Conference on Advanced Learning Technologies, ICALT 2017
    Country/TerritoryRomania
    CityTimisoara
    Period3/07/177/07/17

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