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Modern Approaches for Intelligent Information and Database Systems pp 27–37Cite as

An Approach for Recommending Group Experts on Question and Answering Sites

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Part of the book series: Studies in Computational Intelligence ((SCI,volume 769))

Abstract

Question-and-answer (Q&A) sites can be understood as information systems where users generate and answer questions. Also, they can determine the top answers using the number of positive and negative votes from crowd knowledge and experts. Knowledge sharing sites have been rapidly growing in recent years. It is difficult for a user to find experts who can write great answers to their questions. Recent approaches have focused on recommendations from a single expert. However, a question may contain several topics. Thus, finding the experts group to answer the questions is the best solution. In this paper, we propose a new expert group-recommendation method for Q&A systems. First, the users’ profiles are built to determine experts and non-experts. Second, a topic modeling method is used to identify the topic of the question and matches it to corresponding experts. Third, a social graph is generated to find expert groups. In order to increase knowledge and avoid following the crowd, we require that the members of expert groups not only match the skill requirements to answer the questions but also be diverse. Diversity is an essential factor to promote the development of Q&A sites. Experimenting on Quora dataset shows that the method achieves promising results.

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Notes

  1. 1.

    https://www.quora.com/.

  2. 2.

    https://www.quora.com/How-many-people-use-Quora-7/answer/Adam-DAngelo.

  3. 3.

    https://data.quora.com/First-Quora-Dataset-Release-Question-Pairs.

  4. 4.

    http://scikit-learn.org.

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Acknowledgements

This research was supported by Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Science, ICT & Future Planning (2017R1A2B4009410).

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Authors and Affiliations

  1. Department of Computer Engineering, Yeungnam University, Gyeongsan, Korea

    Dinh Tuyen Hoang, Huyen Trang Phan & Dosam Hwang

  2. Faculty of Computer Science and Management, Wroclaw University of Science and Technology, Wroclaw, Poland

    Ngoc Thanh Nguyen

Authors
  1. Dinh Tuyen Hoang
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  2. Ngoc Thanh Nguyen
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  3. Huyen Trang Phan
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  4. Dosam Hwang
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Corresponding author

Correspondence to Dosam Hwang .

Editor information

Editors and Affiliations

  1. Department of Information Systems, Wrocław University of Science and Technology, Wrocław, Poland

    Andrzej Sieminski

  2. Department of Information Systems, Wrocław University of Science and Technology, Wrocław, Poland

    Adrianna Kozierkiewicz

  3. Department of Information Systems and Computing, Complutense University of Madrid, Madrid, Spain

    Manuel Nunez

  4. Faculty of Information Technology, Vietnam National University, Hanoi, Vietnam

    Quang Thuy Ha

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Hoang, D.T., Nguyen, N.T., Phan, H.T., Hwang, D. (2018). An Approach for Recommending Group Experts on Question and Answering Sites. In: Sieminski, A., Kozierkiewicz, A., Nunez, M., Ha, Q. (eds) Modern Approaches for Intelligent Information and Database Systems. Studies in Computational Intelligence, vol 769. Springer, Cham. https://doi.org/10.1007/978-3-319-76081-0_3

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  • DOI: https://doi.org/10.1007/978-3-319-76081-0_3

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-76080-3

  • Online ISBN: 978-3-319-76081-0

  • eBook Packages: EngineeringEngineering (R0)

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