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 publicationComputer Science and Its Applications - Ubiquitous Information Technologies
EditorsHwa Young Jeong, Ivan Stojmenovic, James J. Park, Gangman Yi
PublisherSpringer Verlag
Pages47-53
Number of pages7
ISBN (Electronic)9783662454015
DOIs
Publication statusPublished - 2015 Jan 1
Event6th FTRA International Conference on Computer Science and its Applications, CSA 2014 - Guam, United States
Duration: 2014 Dec 172014 Dec 19

Publication series

NameLecture Notes in Electrical Engineering
Volume330
ISSN (Print)1876-1100
ISSN (Electronic)1876-1119

Conference

Conference6th FTRA International Conference on Computer Science and its Applications, CSA 2014
CountryUnited States
CityGuam
Period14/12/1714/12/19

Keywords

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

ASJC Scopus subject areas

  • Industrial and Manufacturing Engineering

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  • Cite this

    Zhang, J., Ma, X., Li, W., & Jin, Q. (2015). Social network recommendation based on hybrid suffix tree clustering. In H. Y. Jeong, I. Stojmenovic, J. J. Park, & G. Yi (Eds.), Computer Science and Its Applications - Ubiquitous Information Technologies (pp. 47-53). (Lecture Notes in Electrical Engineering; Vol. 330). Springer Verlag. https://doi.org/10.1007/978-3-662-45402-2_8