Project

Adaptive sports contents recommender platform via matching optimization algorithm

Project Summary

We would provide services for users to enjoy exercises with limited time and budget, based on personalized recommendation algorithm. 2 key technologies are user analysis algorithm based on collecting the range of user-resource data and correlation analysi

Business Model

The platform connects those who search for diverse sports contents with providers, based on adaptive contents recommendation services. Contents would be facilities, lesson programs and community members . Users could save time and money to try contents w

Main Achievements

For 8 months after launch, monthly sales has been going up to 25 times and paid customers up to 15 times. Due to higher matching rate than others, users repurchase contents with higher loyalty; average repurchase rate 82%. Annual sales are being expected