Project
Essel Group
parent corporation
2 months
to create a platform
10k+
employees
Cases
Alternative to the existing Smart Home apps developed that provides for connecting devices of various brands
UGC Platform developed with plug-in modules and scalability option
Retention rate increased by 10% due to collaborative prediction
Monetization & CTR increased with shopping tags
Content monitoring and validation for UGC Platform automated with machine learning
Retention rate increased by 10% due to collaborative prediction
Goal
To create a recommendation service to retain users and increase their loyalty.
Obstacle
To improve the prediction accuracy to increase the competitive ability on the global market.
Solution
We developed a system that creates collaborative prediction recommendations for the user based on clustering and machine learning. The system learns itself on statistics and data on the users’ likes.
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