Arikui - A Dubious User Detection System for Online Dating in Japan

James Neve, Ivan Palomares

Research output: Chapter in Book/Report/Conference proceedingConference Contribution (Conference Proceeding)

5 Citations (Scopus)
193 Downloads (Pure)

Abstract

Online dating constitutes one out of myriad popular services that can be accessed via the Internet nowadays. This paper introduces a novel detection system for identifying dubious users, i.e. users who utilize a Japanese online dating service for purposes besides dating. Examples of such purposes include sales and multi-level marketing, amongst others. More specifically, the proposed detection is characterized by simultaneously analyzing: (i) user profile data; (ii) user actions over their first few hours; and (iii) data retrieved from Facebook in order to find the likelihood that the user is a spammer. The resulting system successfully detects a number of spammers every day, thereby becoming a valuable tool for the customer service team in Eureka Inc, where it has been deployed.

Original languageEnglish
Title of host publication2018 IEEE International Conference on Systems, Man and Cybernetics (SMC 2018)
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages2299-2304
Number of pages6
ISBN (Electronic)9781538666500
DOIs
Publication statusPublished - 16 Jan 2019
Event2018 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2018 - Miyazaki, Japan
Duration: 7 Oct 201810 Oct 2018

Publication series

NameIEEE International Conference on Systems, Man and Cybernetics
PublisherIEEE
ISSN (Print)1062-922X

Conference

Conference2018 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2018
CountryJapan
CityMiyazaki
Period7/10/1810/10/18

Keywords

  • big data
  • information system
  • machine learning
  • spam detection

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