Abstract: A game management system identifies gaming data associated with online game players and determines, based at least in part on the gaming data, other players to recommend as friends for playing an online game. Gaming data from online games other than the online game for which friend recommendations are to be made may be used to provide the friend recommendations. A subset of categories of the gaming data may be used to initially bin the plurality of players into separate bins. Similarity of players, with respect to their gaming data, or a subset thereof, within each bin may be determined. This similarity analysis may result in a similarity score corresponding to each pair of players within a bin. The similarity scores may be used to determine if two players are compatible from an online gaming standpoint and provide friend recommendations to players.

Abstract: A game coaching system identifies gameplay data associated with online game players of an online game and determines, based at least in part on the gameplay data, a performance model to predict performance metric(s) of individual players. The performance model may be used to conduct a sensitivity analysis to determine which perturbations to individual parameters of gameplay data result in improvements to the performance metric(s) of a player. This sensitivity analysis may be used to identify action(s) to recommend to the player to improve his or her gameplay performance. The action(s) that are recommended to the player may be decided based at least in part on the predicted impact of those action(s) on player performance and/or the ease of implementing the action(s). The game coaching system may provide updated action recommendations to players to allow the player to improve his or her gameplay performance over time.

Abstract: A game coaching system identifies gameplay data associated with online game players of an online game and determines, based at least in part on the gameplay data, a performance model to predict performance metric(s) of individual players. The performance model may be used to conduct a sensitivity analysis to determine which perturbations to individual parameters of gameplay data result in improvements to the performance metric(s) of a player. This sensitivity analysis may be used to identify action(s) to recommend to the player to improve his or her gameplay performance. The action(s) that are recommended to the player may be decided based at least in part on the predicted impact of those action(s) on player performance and/or the ease of implementing the action(s). The game coaching system may provide updated action recommendations to players to allow the player to improve his or her gameplay performance over time.

Abstract: A game coaching system identifies gameplay data associated with online game players of an online game and determines, based at least in part on the gameplay data, a performance model to predict performance metric(s) of individual players. The performance model may be used to conduct a sensitivity analysis to determine which perturbations to individual parameters of gameplay data result in improvements to the performance metric(s) of a player. This sensitivity analysis may be used to identify action(s) to recommend to the player to improve his or her gameplay performance. The action(s) that are recommended to the player may be decided based at least in part on the predicted impact of those action(s) on player performance and/or the ease of implementing the action(s). The game coaching system may provide updated action recommendations to players to allow the player to improve his or her gameplay performance over time.

Abstract: A game management system identifies gaming data associated with online game players and determines, based at least in part on the gaming data, other players to recommend as friends for playing an online game. Gaming data from online games other than the online game for which friend recommendations are to be made may be used to provide the friend recommendations. A subset of categories of the gaming data may be used to initially bin the plurality of players into separate bins. Similarity of players, with respect to their gaming data, or a subset thereof, within each bin may be determined. This similarity analysis may result in a similarity score corresponding to each pair of players within a bin. The similarity scores may be used to determine if two players are compatible from an online gaming standpoint and provide friend recommendations to players.