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System U: automatically deriving personality traits from social media for people recommendation

Published:06 October 2014Publication History

ABSTRACT

This paper presents a system, System U, which automatically derives people's personality traits from social media and recommends people for different tasks. The system leverages linguistic signals appearing in a person's social media activities to compute the personality portraits including Big Five personality, fundamental needs and basic human values. This system and technology can be used in a wide variety of personalized applications, such as recommending people to answer questions.

References

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  5. Luo, L, Wang, F., Zhou, M.X., Pan, Y., Chen, H.: Who have got answers?: growing the pool of answerers in a smart enterprise social QA system. IUI'14: 7--16. Google ScholarGoogle ScholarDigital LibraryDigital Library
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        cover image ACM Conferences
        RecSys '14: Proceedings of the 8th ACM Conference on Recommender systems
        October 2014
        458 pages
        ISBN:9781450326681
        DOI:10.1145/2645710

        Copyright © 2014 Owner/Author

        Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

        Publisher

        Association for Computing Machinery

        New York, NY, United States

        Publication History

        • Published: 6 October 2014

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        • demonstration

        Acceptance Rates

        RecSys '14 Paper Acceptance Rate35of234submissions,15%Overall Acceptance Rate254of1,295submissions,20%

        Upcoming Conference

        RecSys '24
        18th ACM Conference on Recommender Systems
        October 14 - 18, 2024
        Bari , Italy

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