Abstract: An interactive gaming system is disclosed. The system comprises at least one sensor that conveys information to the system about the physical, intellectual, mental, emotional, psychological or other type of ability of a user. The system uses the information to assess the existence and extent of a disability, and then implements a change to an aspect of the gaming environment, thus optimizing the gaming experience for the game player by accounting for the game player's disabilities.

Abstract: Features of electronically embodied games are logically categorized, analyzed, and compared. Features are preferably organized according to a hierarchical classification scheme, according to a classification scheme that is not strictly tautological. All suitable feature sets are contemplated, including sets corresponding to characteristics of personifications of players and non-players, types and/or uses of game space, methods of rewarding a player, etc. In other aspects comparisons are made between an evaluation game and one or more sets of historically available games. Such sets can be grouped by genre and the number of games in such sets can range anywhere from a single game to hundreds of games, or more. Reporting and guidance can include providing a risk assessment score or other risk analysis, feature assessment (prevalence), market placement, business model analysis, dynamic trend analysis, clustered pattern recognition, and image analysis.

Abstract: A game recommendation engine is presented. Contemplated game recommendation engines are configured to establish correlations among game attributes and attributes of known disabilities. The recommendation engine can further identify or quantify relationships among games and disabilities having the correlated attributes. The relationships can be used to generate and present recommendations to users. For example, a game design can receive recommendations on game features to incorporate into game to be compatible with or accessible to a disabled person, or a disable person can receive recommendations on games that are accessible to or compatible with o them based on their disabilities.

Abstract: A gaming analysis engine is presented. The analysis engine acquires gaming telemetry data representative of a game player's interactions with a game. The engine can compare the acquired telemetry data against known gaming contexts comprising disparate telemetry data sets or marketing performance data to determine if the telemetry data satisfies triggering criteria. When the triggering criteria are satisfies, the engine can trigger an event representing a signal that desirable information is available to a user or an action is to be taken.

Abstract: Features of electronically embodied games are logically categorized, analyzed, and compared. Features are preferably organized according to a hierarchical classification scheme, according to a classification scheme that is not strictly tautological. All suitable feature sets are contemplated, including sets corresponding to characteristics of personifications of players and non-players, types and/or uses of game space, methods of rewarding a player, etc. In other aspects comparisons are made between an evaluation game and one or more sets of historically available games. Such sets can be grouped by genre and the number of games in such sets can range anywhere from a single game to hundreds of games, or more. Reporting and guidance can include providing a risk assessment score or other risk analysis, feature assessment (prevalence), market placement, business model analysis, dynamic trend analysis, clustered pattern recognition, and image analysis.

Abstract: An interactive gaming system is disclosed. The system comprises at least one sensor that conveys information to the system about the physical, intellectual, mental, emotional, psychological or other type of ability of a user. The system uses the information to assess the existence and extent of a disability, and then implements a change to an aspect of the gaming environment, thus optimizing the gaming experience for the game player by accounting for the game player's disabilities.

Abstract: Features of electronically embodied games are logically categorized, analyzed, and compared. Features are preferably organized according to a hierarchical classification scheme, according to a classification scheme that is not strictly tautological. All suitable feature sets are contemplated, including sets corresponding to characteristics of personifications of players and non-players, types and/or uses of game space, methods of rewarding a player, etc. In other aspects comparisons are made between an evaluation game and one or more sets of historically available games. Such sets can be grouped by genre and the number of games in such sets can range anywhere from a single game to hundreds of games, or more. Reporting and guidance can include providing a risk assessment score or other risk analysis, feature assessment (prevalence), market placement, business model analysis, dynamic trend analysis, clustered pattern recognition, and image analysis.

Abstract: Features of electronically embodied games are logically categorized, analyzed, and compared. Features are preferably organized according to a hierarchical classification scheme, according to a classification scheme that is not strictly tautological. All suitable feature sets are contemplated, including sets corresponding to characteristics of personifications of players and non-players, types and/or uses of game space, methods of rewarding a player, etc. In other aspects comparisons are made between an evaluation game and one or more sets of historically available games. Such sets can be grouped by genre and the number of games in such sets can range anywhere from a single game to hundreds of games, or more. Reporting and guidance can include providing a risk assessment score or other risk analysis, feature assessment (prevalence), market placement, business model analysis, dynamic trend analysis, clustered pattern recognition, and image analysis.

Abstract: Features of electronically embodied games are logically categorized, analyzed, and compared. Features are preferably organized according to a hierarchical classification scheme, according to a classification scheme that is not strictly tautological. All suitable feature sets are contemplated, including sets corresponding to characteristics of personifications of players and non-players, types and/or uses of game space, methods of rewarding a player, etc. In other aspects comparisons are made between an evaluation game and one or more sets of historically available games. Such sets can be grouped by genre and the number of games in such sets can range anywhere from a single game to hundreds of games, or more. Reporting and guidance can include providing a risk assessment score or other risk analysis, feature assessment (prevalence), market placement, business model analysis, dynamic trend analysis, clustered pattern recognition, and image analysis.

Abstract: Genre discovery engines are presented. A genre discovery engine can compare clusters of products falling within known genres to other clusters. Known genres can be defined in turns of correlated product properties. When a new cluster is identified falling outside the boundaries of known genres, the discovery engine can recommend that the new cluster might be a new genre.

Abstract: A product recommendation ecosystem is presented. A rules engine seeks to discover one or more relationships among cross-brand product categories based on non-transaction correlations. The rules engine constructs a generic rules-set based on the universal relationships. The rules-set is sent to a recommendation engine, possibly a subscriber to the services offered by the rules engine, and the rules-set configure the recommendation engine to generate one or more cross-brand product recommendations. The recommendation engine customizes the rules-set according to location-specific information possibly comprising consumer parameters, product parameters, vendor parameters, or other local information.

Abstract: Product-brand correlation engines are presented. A correlation engine seeks relationships among product-brand pairings. A user can submit a target product definition including product properties to the engine. The engine converts the target product properties into quantified metrics, which can be compared to established relationships among known products and brands. Based on the comparison the engine generates one or more possible product-brand alignments where the alignments indicate which brands would likely have beneficial or non-beneficial associations with the target product.

Abstract: A game recommendation engine is presented. Contemplated game recommendation engines are configured to establish correlations among game attributes and attributes of known disabilities. The recommendation engine can further identify or quantify relationships among games and disabilities having the correlated attributes. The relationships can be used to generate and present recommendations to users. For example, a game design can receive recommendations on game features to incorporate into game to be compatible with or accessible to a disabled person, or a disable person can receive recommendations on games that are accessible to or compatible with o them based on their disabilities.

Abstract: Review bias identification systems and methods are presented. A bias in one or more review elements can be identified by deriving a measure of how a review outlet's product review deviates from an industry average or composite review of the product. A bias engine generates a bias vector for a review outlet where the vector can include multiple bias metrics associated with one or more product properties. The bias engine can further present one or more recommendations of associating the product with a review outlet based on the bias vector.

Abstract: Features of electronically embodied games are logically categorized, analyzed, and compared. Features are preferably organized according to a hierarchical classification scheme, according to a classification scheme that is not strictly tautological. All suitable feature sets are contemplated, including sets corresponding to characteristics of personifications of players and non-players, types and/or uses of game space, methods of rewarding a player, etc. In other aspects comparisons are made between an evaluation game and one or more sets of historically available games. Such sets can be grouped by genre and the number of games in such sets can range anywhere from a single game to hundreds of games, or more. Reporting and guidance can include providing a risk assessment score or other risk analysis, feature assessment (prevalence), market placement, business model analysis, dynamic trend analysis, clustered pattern recognition, and image analysis.

Abstract: Features of electronically embodied games are logically categorized, analyzed, and compared. Features are preferably organized according to a hierarchical classification scheme, according to a classification scheme that is not strictly tautological. All suitable feature sets are contemplated, including sets corresponding to characteristics of players and non-players, types and/or uses of game space, methods of rewarding a player, etc. In other aspects comparisons are made between an evaluation game and one or more sets of historically available games. Such sets can be grouped by genre and the number of games in such sets can range anywhere from a single game to hundreds of games, or more. Reporting and guidance can include providing a risk assessment score or other risk analysis, feature assessment (prevalence), market placement, business model analysis, dynamic trend analysis, clustered pattern recognition, and image analysis.

Abstract: Features of electronically embodied games are logically categorized, analyzed, and compared. Features are preferably organized according to a hierarchical classification scheme, according to a classification scheme that is not strictly tautological. All suitable feature sets are contemplated, including sets corresponding to characteristics of players and non-players, types and/or uses of game space, methods of rewarding a player, etc. In other aspects comparisons are made between an evaluation game and one or more sets of historically available games. Such sets can be grouped by genre and the number of games in such sets can range anywhere from a single game to hundreds of games, or more. Reporting and guidance can include providing a risk assessment score or other risk analysis, feature assessment (prevalence), market placement, business model analysis, dynamic trend analysis, clustered pattern recognition, and image analysis.