About the fraud detection filter utilizing machine learning technology
System that automatically detects users under the age of 18
This system uses machine learning technology to filter language typically used by young persons to achieve rapid detection of users under 18 attempting to use the service with a falsified age. A distinct advantage of this system is its ability to more accurately detect such users compared with other systems that only match keywords such as "high school student" in the posts.
System that automatically detects profile images that do not meet posting criteria
Tapple has worked in collaboration with CyberAgent's Akihabara Lab to optimize the recommendation algorithm to improve the matching experience for users, while also utilizing image recognition and machine learning to ensure a safe and wholesome environment. The company is dedicated to providing a dating app that ensures safety and peace of mind for all users by continuing to develop services.
*1: Akihabara Lab
Akihabara Lab is the R&D organization for CyberAgent's media business. It staffs roughly 40 engineers who specialize in large-scale data processing, data analysis, and machine learning. The lab was established in 2011 to contribute to media services and company development by practically applying the data obtained from CyberAgent's media services.
List of public announcements from Akihabara Lab
*2: Commentary on the Regulation for Online Dating Sites (Metropolitan Police Department anti-cybercrime measures)
*3: About screening of main images