An approach for user interests extraction using decision tree and social network analysis

Jeungmin Lee, Hansaem Park, Kyunglag Kwon, Yunwan Jeon, Sungwoo Jung, In Jeong Chung

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

1 Citation (Scopus)

Abstract

In this paper, we propose an effective extraction method for acquiring the interests of users from Social Network Services (SNSs). In the proposed approach, a domain ontology generated by a decision tree is first used to classify domain webpages and each user. A Social Network Analysis (SNA) method is then used to analyze the tags from the Friend-Of-A-Friend (FOAF) profiles of each user; after which, we obtained the interests of the users. The results of an experiment conducted to obtain the interests of 2012 USA presidential candidates indicate that the precision and accuracy of our approach are 91.5 and 93.1 % in classifying the users, respectively.

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
Pages551-560
Number of pages10
ISBN (Print)9789811015359
DOIs
Publication statusPublished - 2016 Jan 1
Event11th International Conference on Future Information Technology, FutureTech 2016 - Beijing, China
Duration: 2016 Apr 202016 Apr 22

Publication series

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

Other

Other11th International Conference on Future Information Technology, FutureTech 2016
CountryChina
CityBeijing
Period16/4/2016/4/22

Fingerprint

Electric network analysis
Decision trees
Ontology
Experiments

Keywords

  • Friend-Of-A-Friend (FOAF)
  • Interests extraction
  • Social network analysis (SNA)
  • Social network service (SNS)

ASJC Scopus subject areas

  • Industrial and Manufacturing Engineering

Cite this

Lee, J., Park, H., Kwon, K., Jeon, Y., Jung, S., & Chung, I. J. (2016). An approach for user interests extraction using decision tree and social network analysis. In H. Jin, Y-S. Jeong, M. K. Khan, & J. J. Park (Eds.), Advanced Multimedia and Ubiquitous Engineering - FutureTech and MUE (pp. 551-560). (Lecture Notes in Electrical Engineering; Vol. 393). Springer Verlag. https://doi.org/10.1007/978-981-10-1536-6_72

An approach for user interests extraction using decision tree and social network analysis. / Lee, Jeungmin; Park, Hansaem; Kwon, Kyunglag; Jeon, Yunwan; Jung, Sungwoo; Chung, In Jeong.

Advanced Multimedia and Ubiquitous Engineering - FutureTech and MUE. ed. / Hai Jin; Young-Sik Jeong; Muhammad Khurram Khan; James J. Park. Springer Verlag, 2016. p. 551-560 (Lecture Notes in Electrical Engineering; Vol. 393).

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

Lee, J, Park, H, Kwon, K, Jeon, Y, Jung, S & Chung, IJ 2016, An approach for user interests extraction using decision tree and social network analysis. in H Jin, Y-S Jeong, MK Khan & JJ Park (eds), Advanced Multimedia and Ubiquitous Engineering - FutureTech and MUE. Lecture Notes in Electrical Engineering, vol. 393, Springer Verlag, pp. 551-560, 11th International Conference on Future Information Technology, FutureTech 2016, Beijing, China, 16/4/20. https://doi.org/10.1007/978-981-10-1536-6_72
Lee J, Park H, Kwon K, Jeon Y, Jung S, Chung IJ. An approach for user interests extraction using decision tree and social network analysis. In Jin H, Jeong Y-S, Khan MK, Park JJ, editors, Advanced Multimedia and Ubiquitous Engineering - FutureTech and MUE. Springer Verlag. 2016. p. 551-560. (Lecture Notes in Electrical Engineering). https://doi.org/10.1007/978-981-10-1536-6_72
Lee, Jeungmin ; Park, Hansaem ; Kwon, Kyunglag ; Jeon, Yunwan ; Jung, Sungwoo ; Chung, In Jeong. / An approach for user interests extraction using decision tree and social network analysis. Advanced Multimedia and Ubiquitous Engineering - FutureTech and MUE. editor / Hai Jin ; Young-Sik Jeong ; Muhammad Khurram Khan ; James J. Park. Springer Verlag, 2016. pp. 551-560 (Lecture Notes in Electrical Engineering).
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