User age profile assessment using SMS network neighbors' age profiles

Sung Hyuk Park, Ho Jin Lee, Sang Pil Han, Dong Hoon Lee

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

3 Scopus citations

Abstract

Customer profile data used in information systems such as recommender systems and collaborative customer relationship management system should be reliable. However, it is hard to maintain high quality of customer profile data because profile information is usually self-reported by users who do not always want to throw their profiles to the company. This paper presents a study of user profile reliability assessment using homophily in a large-scale mobile SMS (short messaging service) data. Our research provides a simple statistical method to find out users' true profiles based on profile information of users' neighbors in social network. Our dataset contains randomly selected 117,333 user data from a larg Korean mobile company, including users' demographic profiles and their text communication histories. Using the text network data, we construct social network. Results show that our method efficiently identifies users with great discrepancy between reported age and actual age. In particular, the prediction accuracy for a user's actual age by our method is 94.4% which is very high compared to 86.5%, the second best accuracy by the simple relational inference approach. The results imply that our age profile assessment model can verify whether a user's age profile is reliable or not and can be applied in practical use.

Original languageEnglish (US)
Title of host publicationProceedings - 2009 International Conference on Advanced Information Networking and Applications Workshops, WAINA 2009
Pages960-965
Number of pages6
DOIs
StatePublished - Oct 23 2009
Externally publishedYes
Event2009 International Conference on Advanced Information Networking and Applications Workshops, WAINA 2009 - Bradford, United Kingdom
Duration: May 26 2009May 29 2009

Publication series

NameProceedings - International Conference on Advanced Information Networking and Applications, AINA
ISSN (Print)1550-445X

Other

Other2009 International Conference on Advanced Information Networking and Applications Workshops, WAINA 2009
CountryUnited Kingdom
CityBradford
Period5/26/095/29/09

Keywords

  • Component
  • Homophily
  • Mobile communication networks
  • Relational inference
  • SMS
  • Uncertain data

ASJC Scopus subject areas

  • Engineering(all)

Fingerprint Dive into the research topics of 'User age profile assessment using SMS network neighbors' age profiles'. Together they form a unique fingerprint.

  • Cite this

    Park, S. H., Lee, H. J., Han, S. P., & Lee, D. H. (2009). User age profile assessment using SMS network neighbors' age profiles. In Proceedings - 2009 International Conference on Advanced Information Networking and Applications Workshops, WAINA 2009 (pp. 960-965). [5136775] (Proceedings - International Conference on Advanced Information Networking and Applications, AINA). https://doi.org/10.1109/WAINA.2009.136