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A content-aware expert recommendation scheme in social network services

  • Young Sung Shin
  • , Hyeong Il Kim
  • , Jae Woo Chang*
  • *Corresponding author for this work
    • Jeonbuk National University

    Research output: Contribution to conferenceConference paperpeer-review

    Abstract

    Because a wide range of professionals utilize Social Network Service (SNS), the SNS users have recently required an expert recommendation service to enable users to perform both cooperation and technical communication with experts. A content-boosted collaborative filtering (CBCF) provides various prediction algorithms which support effective recommendations. However, the CBCF cannot calculates the similarity of items (or users) when the calculation condition is not clearly provided. To solve the problem, we propose a content-aware hybrid collaborative filtering scheme for expert recommendation in SNSs. Finally, we show from a performance analysis that our scheme outperforms the existing method in terms of recommendation accuracy.

    Original languageEnglish
    Title of host publicationAdvanced Multimedia and Ubiquitous Engineering - FutureTech and MUE
    EditorsHai Jin, Young-Sik Jeong, Muhammad Khurram Khan, James J. Park
    PublisherSpringer Verlag
    Pages45-54
    Number of pages10
    ISBN (Print)9789811015359
    DOIs
    StatePublished - 2016
    Event11th International Conference on Future Information Technology, FutureTech 2016 - Beijing, China
    Duration: 2016.04.202016.04.22

    Publication series

    NameLecture Notes in Electrical Engineering
    Volume393
    ISSN (Print)1876-1100
    ISSN (Electronic)1876-1119

    Conference

    Conference11th International Conference on Future Information Technology, FutureTech 2016
    Country/TerritoryChina
    CityBeijing
    Period16.04.2016.04.22

    Keywords

    • Collaborative filtering
    • Content-aware recommendation
    • Expert recommendation
    • Social network service

    Quacquarelli Symonds(QS) Subject Topics

    • Engineering - Mechanical

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