⚫Machine Learning: Product Recommendations

The following dataset sources will be used for the recommendation system learning:

• third-party DMPs (Oracle Bluekai, Krux, MediaMath, etc.);

• user activity data shared by the merchants, as described above.

InRecommendations system is based on the data and machine learning algorithms. It provides API to any merchant, developer, or service provider. The API allows any merchant to receive highly precise product recommendations starting from day one of the operations, even with low user traffic, because of the application of algorithms, which make decisions after learning on thousands of other merchants and millions of data points. The payment for the API is accepted in INV tokens only.