@inproceedings{b41632ea858e4b3a837b8900755a0664,
title = "Arikui - A Dubious User Detection System for Online Dating in Japan",
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.",
keywords = "big data, information system, machine learning, spam detection",
author = "James Neve and Ivan Palomares",
year = "2019",
month = jan,
day = "16",
doi = "10.1109/SMC.2018.00395",
language = "English",
series = "IEEE International Conference on Systems, Man and Cybernetics",
publisher = "Institute of Electrical and Electronics Engineers (IEEE)",
pages = "2299--2304",
booktitle = "2018 IEEE International Conference on Systems, Man and Cybernetics (SMC 2018)",
address = "United States",
note = "2018 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2018 ; Conference date: 07-10-2018 Through 10-10-2018",
}