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Towards a Personalized Item Recommendation Approach in Social Tagging Systems Using Intuitionistic Fuzzy DBSCAN

  • Chun Guan
  • , Kevin Kam Fung Yuen*
  • , Yong Yue
  • *Corresponding author for this work
    • University of Liverpool
    • Xi'an Jiaotong-Liverpool University
    • Singapore University of Social Sciences

    Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review

    5 Citations (Scopus)

    Abstract

    In folksonomies, users annotate items with abundant personalized tags. The tags can be used in recommendation systems to produce meaningful information. The Density-Based Spatial Clustering of Applications with Noise (DBSCAN) can be applied in recommendation systems. This paper proposes the Intuitionistic Fuzzy DBSCAN (IF-DBSCAN) for the personalized item recommendation in folksonomy. The IF-DBSCAN is used to cluster items with respect to the user-defined tags. The Intuitionistic Fuzzy Set (IFS) is used to represent tag values which are vague and uncertain. DBSCAN can cluster items with the tags represented by using IFSs into different groups. An example of movie recommendation is demonstrated for the applicability of the proposed method.

    Original languageEnglish
    Title of host publicationProceedings - 2018 10th International Conference on Intelligent Human-Machine Systems and Cybernetics, IHMSC 2018
    PublisherInstitute of Electrical and Electronics Engineers Inc.
    Pages361-364
    Number of pages4
    ISBN (Electronic)9781538658369
    DOIs
    Publication statusPublished - 9 Nov 2018
    Event10th International Conference on Intelligent Human-Machine Systems and Cybernetics, IHMSC 2018 - Hangzhou, China
    Duration: 25 Aug 2018 → 26 Aug 2018

    Publication series

    NameProceedings - 2018 10th International Conference on Intelligent Human-Machine Systems and Cybernetics, IHMSC 2018
    Volume1

    Conference

    Conference10th International Conference on Intelligent Human-Machine Systems and Cybernetics, IHMSC 2018
    Country/TerritoryChina
    CityHangzhou
    Period25/08/18 → 26/08/18

    Keywords

    • DBSCAN
    • Folksonomy
    • Intuitionistic Fuzzy Set
    • Movie recommendation
    • Social tagging system

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