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

James Neve, Ivan Palomares

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

6 Citations (Scopus)

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 publicationProceedings - 2018 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages2299-2304
Number of pages6
ISBN (Electronic)9781538666500
DOIs
Publication statusPublished - 2019 Jan 16
Event2018 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2018 - Miyazaki, Japan
Duration: 2018 Oct 72018 Oct 10

Publication series

NameProceedings - 2018 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2018

Conference

Conference2018 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2018
Country/TerritoryJapan
CityMiyazaki
Period18-10-0718-10-10

All Science Journal Classification (ASJC) codes

  • Information Systems
  • Information Systems and Management
  • Health Informatics
  • Artificial Intelligence
  • Computer Networks and Communications
  • Human-Computer Interaction

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