Social network recommendation based on hybrid suffix tree clustering

Jianhao Zhang, Xun Ma, Weimin Li, Qun Jin

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    2 Citations (Scopus)

    Abstract

    Comparing to the ordinary text analysis and recommendation, the contents on Social Network Services (SNS) are observably more distinct and less redundant. Content-based recommendation has become the main method on SNSs. Because the limited contents are occurred in SNSs, a considerable effect can’t be reached by using ordinary cluster algorithms. In this paper, we propose a two-phase hybrid clustering algorithm based on Suffix Tree Clustering (STC), which not only uses the words themselves, but relations between them as well. Evaluation experiment and analysis confirm that our techniques have better recommendation results and effects on cold-start scenarios.

    Original languageEnglish
    Title of host publicationLecture Notes in Electrical Engineering
    PublisherSpringer Verlag
    Pages47-53
    Number of pages7
    Volume330
    ISBN (Print)9783662454015
    DOIs
    Publication statusPublished - 2015
    Event6th FTRA International Conference on Computer Science and its Applications, CSA 2014 - Guam
    Duration: 2014 Dec 172014 Dec 19

    Publication series

    NameLecture Notes in Electrical Engineering
    Volume330
    ISSN (Print)18761100
    ISSN (Electronic)18761119

    Other

    Other6th FTRA International Conference on Computer Science and its Applications, CSA 2014
    CityGuam
    Period14/12/1714/12/19

    Fingerprint

    Clustering algorithms
    Experiments

    Keywords

    • Hybrid clustering
    • Social network
    • Suffix Tree
    • User relation

    ASJC Scopus subject areas

    • Industrial and Manufacturing Engineering

    Cite this

    Zhang, J., Ma, X., Li, W., & Jin, Q. (2015). Social network recommendation based on hybrid suffix tree clustering. In Lecture Notes in Electrical Engineering (Vol. 330, pp. 47-53). (Lecture Notes in Electrical Engineering; Vol. 330). Springer Verlag. https://doi.org/10.1007/978-3-662-45402-2_8

    Social network recommendation based on hybrid suffix tree clustering. / Zhang, Jianhao; Ma, Xun; Li, Weimin; Jin, Qun.

    Lecture Notes in Electrical Engineering. Vol. 330 Springer Verlag, 2015. p. 47-53 (Lecture Notes in Electrical Engineering; Vol. 330).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Zhang, J, Ma, X, Li, W & Jin, Q 2015, Social network recommendation based on hybrid suffix tree clustering. in Lecture Notes in Electrical Engineering. vol. 330, Lecture Notes in Electrical Engineering, vol. 330, Springer Verlag, pp. 47-53, 6th FTRA International Conference on Computer Science and its Applications, CSA 2014, Guam, 14/12/17. https://doi.org/10.1007/978-3-662-45402-2_8
    Zhang J, Ma X, Li W, Jin Q. Social network recommendation based on hybrid suffix tree clustering. In Lecture Notes in Electrical Engineering. Vol. 330. Springer Verlag. 2015. p. 47-53. (Lecture Notes in Electrical Engineering). https://doi.org/10.1007/978-3-662-45402-2_8
    Zhang, Jianhao ; Ma, Xun ; Li, Weimin ; Jin, Qun. / Social network recommendation based on hybrid suffix tree clustering. Lecture Notes in Electrical Engineering. Vol. 330 Springer Verlag, 2015. pp. 47-53 (Lecture Notes in Electrical Engineering).
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