In Russia, the first neural network has started operating, which recommends viewers to choose a certain movie or TV show to watch. The development of the Big Data center of MTS and KION includes all movies and TV shows that have ever been presented on the cinema service. The selection includes even those film works that are no longer shown in Russia.
We decided to create a new tool that will help users choose the most suitable movies and TV shows for themselves - for example, if they want to watch something new or need to choose one movie for a company of several people. The neural network Explore KION allows this, and its main value for us as a service is that it saves users time choosing a movie.
Explore KION is based on what film works the user liked.
After making a choice, the neural network, based on the user's current preferences, will select a list of relevant paintings that can be watched on KION.
Explore KION works with two levels of the algorithm. The candidate selection model selects movies and TV shows that the user might like based on what he chose.
Then movies and TV shows selected on the first level and interaction history with cards from the current session go into the ranking model.
The algorithm will also work when it's necessary to choose a movie for a company of viewers with different interests.