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In collaboration with the Science team, we created a new recommendation algorithm that selects five games for a customized daily workout. The algorithm takes into account a user's training priorities, their past experience with the games, and Lumosity's internal game rankings.
The training algorithm is easily extensible, and allows us to add new games and new parameters for building workouts.
This new recommendation system allowed us to be more responsive to user's needs, giving users control over the workout content while still maintaining the authority of our scientific recommendations. For users who want more autonomy, they now have the option to switch out of a game they don't like or can't play, and replace with a new recommended game.