Generation of context-aware, personalized challenges in computer games

Apparatus comprising one or more processors and a memory, the memory comprising instructions that, when executed by the one or more processors, cause the apparatus to perform operations comprising:

• receiving input data, the input data comprising data relating to a user of a computer game;
• generating, based on the input data, one or more candidate challenges for the computer game, comprising:
• determining one or more search constraints based on the input data;
• and
• searching among one or more ranges of challenge parameters based on the one or more search constraints to generate the one or more candidate challenges;
• determining, using a machine-learned model, whether each of the one or more candidate challenges satisfies a threshold condition, wherein the threshold condition is based on a target challenge difficultly;
• in response to a positive determination, outputting the one or more candidate challenges that satisfy the threshold condition for use in the computer game by the user.

A computer implemented method comprising:

• receiving player data from a plurality of players relating to a plurality of in-game challenges;
• determining a proxy measure of difficulty for each of the plurality of in-game challenges based on the received player data;
• processing each of the plurality of in-game challenges using one or more parametrised models to generate a prospective difficulty score for each of the plurality of in-game challenges;
• comparing each of the prospective difficulty scores to a corresponding proxy measure of difficulty for the in-game challenge;
• and
• updating parameters of the one or more parametrised models based on the comparisons to generate a machine-learned model,
• wherein:
• the plurality of players is divided into a plurality of player types in dependence on the received player data;
• the proxy measure of difficulty for each of the plurality of in game-challenges comprises a plurality of difficulty measures, each corresponding to a player type;
• and
• the one or more parameterised models comprises a plurality of parameterised models, each corresponding to one of the player types and updated based on data from the corresponding player type.