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

doi:10.1007/978-981-10-1536-6_72

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

Department of Computer Science and Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference 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 language	English
Title of host publication	Advanced Multimedia and Ubiquitous Engineering - FutureTech and MUE
Editors	Hai Jin, Young-Sik Jeong, Muhammad Khurram Khan, James J. Park
Publisher	Springer Verlag
Pages	551-560
Number of pages	10
ISBN (Print)	9789811015359
DOIs	https://doi.org/10.1007/978-981-10-1536-6_72
Publication status	Published - 2016
Event	11th International Conference on Future Information Technology, FutureTech 2016 - Beijing, China Duration: 2016 Apr 20 → 2016 Apr 22

Publication series

Name	Lecture Notes in Electrical Engineering
Volume	393
ISSN (Print)	1876-1100
ISSN (Electronic)	1876-1119

Other

Other	11th International Conference on Future Information Technology, FutureTech 2016
Country/Territory	China
City	Beijing
Period	16/4/20 → 16/4/22

Keywords

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

ASJC Scopus subject areas

Industrial and Manufacturing Engineering

Access to Document

10.1007/978-981-10-1536-6_72

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 et al.
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 proceeding › Conference 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

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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.",

keywords = "Friend-Of-A-Friend (FOAF), Interests extraction, Social network analysis (SNA), Social network service (SNS)",

author = "Jeungmin Lee and Hansaem Park and Kyunglag Kwon and Yunwan Jeon and Sungwoo Jung and Chung, {In Jeong}",

note = "Publisher Copyright: {\textcopyright} Springer Science+Business Media Singapore 2016. Copyright: Copyright 2017 Elsevier B.V., All rights reserved.; 11th International Conference on Future Information Technology, FutureTech 2016 ; Conference date: 20-04-2016 Through 22-04-2016",

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AB - 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.

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

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