# US 12,214,282 B2 · System and method for providing targeted recommendations to segments of users of a virtual space > Agents: this data is available as JSON from the patentgrep API and MCP server — see https://patentgrep.com/llms.txt - Number: US 12,214,282 B2 - Document ID: US12214282B2 - Status: Granted - Kind: B2 - Application number: 18/455,097 - Filed: 2023-08-24 - Published: 2023-12-14 - Granted: 2025-02-04 - Earliest claimed: 2012-10-02 - Assignees: Kabam, Inc. - Applicants: Kabam, Inc. - Inventors: Tian Lan; Bing Liu; Sainath Shenoy; Kenneth Yu; Liang Zhao - Web page: https://patentgrep.com/patent/US12214282B2 ## CPC - A63F 13/5375: for graphically or textually suggesting an action, e.g. by displaying an arrow indicating a turn in a driving game - A63F 13/25: Output arrangements for video game devices - A63F 13/79: involving player-related data, e.g. identities, accounts, preferences or play histories - A63F 13/795: for finding other players; for building a team; for providing a buddy list - A63F 2300/556: Player lists, e.g. online players, buddy list, black list - A63F: CARD, BOARD, OR ROULETTE GAMES; INDOOR GAMES USING SMALL MOVING PLAYING BODIES; VIDEO GAMES; GAMES NOT OTHERWISE PROVIDED FOR ## Abstract Targeted recommendations may be provided to specific user segments. The users may be segmented on or more user parameters that facilitate targeted provision of recommendations to the individual segments of users. A recommendation may prompt a user to take a recommended action in the game. ## Claims ### Claim 1 A system configured to provide different recommended in-game actions to users of a game and to track and use user responses to the different recommended in-game actions, the system comprising: one or more processors configured by machine-readable instructions to: determine automatically, by the one or more processors, a first recommended in-game action in the game and a second recommended in-game action in the game; determine a first subset of the users and a second subset of the users, such that the first subset of users includes a first user, and such that the second subset of users includes a second user; effectuate delivery of the first and second recommended in-game actions to client computing devices associated with different users, such that the first recommended in-game action is delivered to the first subset of users and the second recommended in-game action is delivered to the second subset of users, wherein delivery of the first recommended in-game action includes a first presentation of information pertaining to the first recommended in-game action being presented on a first user interface of a first client computing device, wherein the first client computing device is associated with the first user, and wherein delivery of the second recommended in-game action includes a second presentation of information pertaining to the second recommended in-game action being presented on a second user interface of a second client computing device, wherein the second client computing device is associated with the second user; track responses of the users to the delivery of the first and second recommended in-game actions to the client computing devices by: (i) determining whether individual users in the first subset of users have effectuated performance of the first recommended in-game action, wherein the first user is determined to have performed the first recommended in-game action through first user input into the first user interface of the first client computing device, and wherein information based on the first user input has been received by the system from the first client computing device, and (ii) determining whether individual users in the second subset if users have effectuated performance of the second recommended in-game action, wherein the second user is determined to have performed the second recommended in-game action through second user input into the second user interface of the second client computing device, and wherein information based on the second user input has been received by the system from the second client computing device; and responsive to receiving information based on user input from the client computing devices, generate a new recommended in-game action for a particular subset of the users, wherein the new recommended in-game action is based on one or more of the first recommended in-game action, the second recommended in-game action, and/or the tracked responses, wherein the tracked responses include the information as received that is based on the first user input and the information as received that is based on the second user input. ### Claim 2 (depends on 1) The system of claim 1, wherein the one or more processors are further configured to: effectuate delivery of the new recommendation to the particular subset of the users. ### Claim 3 (depends on 1) The system of claim 1, wherein the one or more processors are further configured to: execute an instance of the game. ### Claim 4 (depends on 1) The system of claim 1, wherein the one or more processors are further configured by machine-readable instructions to determine a relative effectiveness of a particular recommended in-game action as a function of a number of users that perform the particular recommended in-game action. ### Claim 5 (depends on 4) The system of claim 4, wherein a first effectiveness is quantified as one or more of an average retention time of users in the first subset of users, an average retention time of users in the first subset that effectuated performance of the first recommended in-game action, a number of users in the first subset of users that are retained for a threshold amount of time, a number of users in the first subset of users that spend a threshold amount of money on the game, and/or an average revenue per user in the first subset of users. ### Claim 6 (depends on 1) The system of claim 1, wherein the one or more processors are further configured by machine-readable instructions to select one or more subsets of the users based on one or more of a demographic parameter, a social parameter, a game parameter, or an activity parameter. ### Claim 7 (depends on 6) The system of claim 6, wherein the demographic parameter includes one or more of age, sex, geographic location, language, income, education, career, or marital status. ### Claim 8 (depends on 6) The system of claim 6, wherein the social parameter includes one or more of a parameter derived from a social graph in a social network service, an in-game relationship, or a platform from which the game is accessed. ### Claim 9 (depends on 6) The system of claim 6, wherein the game parameter includes one or more of an entity class, an entity faction, a usage amount, one or more usage times, a level, inventory in the game, or a score. ### Claim 10 (depends on 6) The system of claim 6, wherein the activity parameter includes a parameter determined from an action history of the user in the game. ### Claim 11 (depends on 1) The system of claim 1, wherein the one or more processors are configured by machine-readable instructions to determine a relative effectiveness of the first recommended in-game action with respect to the second recommended in-game action as a function of an average amount of participation by the first subset of users in the game within a given time after the delivery of the first recommended in-game action relative to an average amount of participation by the second subset of users in the game within the given time after the delivery of the second recommended in-game action. ### Claim 12 (depends on 1) The system of claim 1, wherein the one or more processors are configured by machine-readable instructions to determine a relative effectiveness of the first recommended in-game action with respect to the second recommended in-game action as a function of an average amount of time from the delivery of the first recommended in-game action to the first subset to participation by the first subset of users in the game relative to an average amount of time from the delivery of the second recommended in-game action to the second subset to participation by the second subset of users. ### Claim 13 A computer-implemented method of providing different recommended in-game actions to users of a game and of tracking and using user responses to the different recommended in-game actions, the method being implemented in a computer system comprising one or more physical processors, the method comprising: determining automatically, by the one or more physical processors, a first recommended in-game action and a second recommended in-game action in the game; determining a first subset of the users and a second subset of the users, such that the first subset of users includes a first user, and such that the second subset of users includes a second user; effectuating delivery of the first and second recommended in-game actions to client computing devices associated with different users, such that the first recommended in-game action is delivered to the first subset of users and the second recommended in-game action is delivered to the second subset of users, wherein delivery of the first recommended in-game action includes a first presentation of information pertaining to the first recommended in-game action being presented on a first user interface of a first client computing device, wherein the first client computing device is associated with the first user, and wherein delivery of the second recommended in-game action includes a second presentation of information pertaining to the second recommended in-game action being presented on a second user interface of a second client computing device, wherein the second client computing device is associated with the second user; tracking responses of the users to the delivery of the first and second recommended in-game actions the client computing devices by: (i) determining whether individual users in the first subset of users have effectuated performance of the first recommended in-game action, wherein the first user is determined to have performed the first recommended in-game action through first user input into the first user interface of the first client computing device, and wherein information based on the first user input has been received by the system from the first client computing device, and (ii) determining whether individual users in the second subset if users have effectuated performance of the second recommended in-game action, wherein the second user is determined to have performed the second recommended in-game action through second user input into the second user interface of the second client computing device, and wherein information based on the second user input has been received by the system from the second client computing device; and responsive to receiving information based on user input from the client computing devices, generating a new recommended in-game action for a particular subset of the users, wherein the new recommended in-game action is based on one or more of the first recommended in-game action, the second recommended in-game action, and/or the tracked responses, wherein the tracked responses include the information as received that is based on the first user input and the information as received that is based on the second user input. ### Claim 14 (depends on 13) The method of claim 13, wherein the first and second subsets of the users are based on a first parameter, and wherein the first parameter includes one or more of a demographic parameter, a social parameter, a game parameter, and/or an activity parameter. ### Claim 15 (depends on 14) The method of claim 14, wherein the first parameter includes at least the demographic parameter, and wherein the demographic parameter includes one or more of age, sex, geographic location, language, income, education, career, or marital status. ### Claim 16 (depends on 14) The method of claim 14, wherein the first parameter includes at least the activity parameter, and wherein the activity parameter includes a parameter determined from an action history of the user in the game. ### Claim 17 (depends on 13) The method of claim 13, further comprising determining a relative effectiveness of a particular recommended in-game action as a function of the number of users that perform the particular recommended in-game action. ### Claim 18 (depends on 13) The method of claim 13, further comprising determining a relative effectiveness of a particular recommended in-game action as a function of users that perform the particular recommended in-game action versus users that do not perform the particular recommended in-game action.