Revu Corporation Develops Advertising Performance Prediction System with KAIST

[Asia Economy Reporter Donghyun Choi] Global influencer platform company Revu Corporation announced on the 9th that it has succeeded in developing a 'global advertising performance prediction system using big data deep learning technology' in collaboration with Professor Sung Hyuk Park's team at the Korea Advanced Institute of Science and Technology (KAIST).

The system consists of deep learning and machine learning models. It predicts future marketing performance by utilizing past marketing performance data of influencers and then recommends influencers by using the predicted values as key variables. Through this, advertisers can collaborate with high-performing influencers based on objective data.

The big data utilized includes approximately 960,000 influencer data, over 600,000 campaign data, and more than 5.4 million content data currently held by Revu Corporation's operating platform, REVU. The company stated that it plans to continuously utilize additional data accumulated through influencer advertising in the future.

The company emphasized that its technology has been recognized by external organizations. Through an external ICT testing and certification research institute, the software quality measurement test was conducted on functionality suitability, performance efficiency, compatibility, usability, reliability, and security, and the advertising performance prediction model passed the accuracy certification. It was selected as the 'Best research in progress paper' at the International Conference on Electronic Conference 2022 held in June last year.

It also achieved excellent results in internally conducted tests. Through tests on more than 35 actual advertising campaigns conducted in Korea and Taiwan, improved results were confirmed on blogs and Instagram compared to the existing algorithm directly selected by advertisers. Revu Corporation plans to continuously advance the system.

A Revu Corporation official stated, “Going forward, we will continue to build an advanced data library capable of big data technology and preprocessing, and innovate platform technology using deep learning and machine learning through collaboration with domestic and Vietnamese research and development (R&D) centers as well as top-level external technology networks such as KAIST.”

This content was produced with the assistance of AI translation services.