Third-party recommendation in game system

• US 9,132,349 B2
• Filed: 04/10/2012
• Issued: 09/15/2015
• Est. Priority Date: 04/10/2012
• Status: Active Grant

• Current Assignee: SAP SE
• Original Assignee: SAP SE
• Inventors: Haze, Oren, Vogel, Andreas, Yotopoulos, Jason, Barnes, Alon
• Primary Examiner(s): Shah, Milap
• Application Number:
  US13/443,217
• Publication Number:
  US 20130268393A1
• Time in Patent Office: 1,253 Days
• Field of Search: 463 40- 43
• US Class Current: 1/1
• CPC Class Codes: A63F 13/35 Details of game servers
• CPC Class Codes: A63F 13/5375 for graphically or textually suggesting an action, e.g. by displaying an arrow indicating a turn in a driving game
• CPC Class Codes: A63F 13/61 using advertising information
• CPC Class Codes: A63F 13/67 adaptively or by learning from player actions, e.g. skill level adjustment or by storing successful combat sequences for re-use
• CPC Class Codes: A63F 13/69 by enabling or updating specific game elements, e.g. unlocking hidden features, items, levels or versions
• CPC Class Codes: A63F 13/792 for payment purposes, e.g. monthly subscriptions
• CPC Class Codes: A63F 2300/5506 using advertisements
• CPC Class Codes: A63F 2300/552 for downloading to client devices, e.g. using OS version, hardware or software profile of the client device
• CPC Class Codes: A63F 2300/575 for trading virtual items

Abstract

A computer-implemented method for using a third-party recommendation in a game system includes: receiving, at a recommendation engine and from a game system, current game context data provided in real time during a game in which at least one user participates; selecting, by the recommendation engine, at least one of multiple predefined actions based on at least the current game context data; and providing a response to the game system that identifies the selected at least one action for performance.

Claims

1. A computer-implemented method to generate a recommendation in a computerized game system, the method comprising:

receiving, by a first computing system and as having been sent from a second computing system at which a computerized video game is executing;

(i) data that identifies that a predetermined event has occurred in the computerized video game as a result of a user playing the computerized video game, and

(ii) data that identifies a current state of the computerized video game;

selecting, by the first computing system and in response to the first computing system having received the data that identifies that the predetermined event has occurred in the computerized video game and having received the data that identifies the current state of the computerized video game, a particular computer-executable prediction model that corresponds to the predetermined event from among a collection of computer-executable prediction models that correspond to respective events that occur through play of the computerized video game;

executing, by the first computing system and in response to the first computing system having selected the particular computer-executable prediction model, the particular computer-executable prediction model with the received data that identifies the current state of the computerized video game as input data to the particular computer-executable prediction model, in order to cause the first computing system to determine a probability that the user of the computerized video game will purchase a virtual good or service of the computerized video game;

selecting, by the first computing system, a recommendation that the user purchase the virtual good or service of the computerized video game, from among a collection of recommendations, through use of the determined probability that the user of the computerized video game will purchase the virtual good or service of the computerized video game; and

sending, by the first computing system and for receipt by the second computing system at which the computerized video game is executing, information that identifies the recommendation which was selected by the first computer system through use of the determined probability, in order to cause the second computing system to display, to the user within the computerized video game, the recommendation to purchase the virtual good or service.

2. The computer-implemented method of claim 1, further comprising, before the first computing system selects the recommendation that the user purchase the virtual good or service of the computerized video game from among the collection of recommendations, identifying, by the first computing system, the collection of recommendations as a subset of a plurality of recommendations that:

(i) apply once the predetermined event has occurred, and

(ii) omit multiple recommendations from the plurality of recommendations that were previously presented to the user.

3. The computer-implemented method of claim 1, wherein the collection of recommendations includes a recommendation to share information about the computerized video game with other individuals through use of a social network.

4. The computer-implemented method of claim 1, further comprising determining, by the first computing system, that the user responded to the recommendation that the user purchase the virtual good or service of the computerized video game, and as a result, modifying the particular computer-executable prediction model.

5. A system comprising:

one or more processors; and

a computer-readable storage device comprising instructions that, when executed by the one or more processors, cause performance of a method to generate a recommendation in a computerized game system, the method comprising;

receiving, by a first computing system and as having been sent from a second computing system at which a computerized video game is executing;

(i) data that identifies that a predetermined event has occurred in the computerized video game as a result of a user playing the computerized video game, and

(ii) data that identifies a current state of the computerized video game;

selecting, by the first computing system and in response to the first computing system having received the data that identifies that the predetermined event has occurred in the computerized video game and having received the data that identifies the current state of the computerized video game, a particular computer-executable prediction model that corresponds to the predetermined event from among a collection of computer-executable prediction models that correspond to respective events that occur through play of the computerized video game;

executing, by the first computing system and in response to the first computing system having selected the particular computer-executable prediction model, the particular computer-executable prediction model with the received data that identifies the current state of the computerized video game as input data to the particular computer-executable prediction model, in order to cause the first computing system to determine a probability that the user of the computerized video game will purchase a virtual good or service of the computerized video game;

selecting, by the first computing system, a recommendation that the user purchase the virtual good or service of the computerized video game, from among a collection of recommendations, through use of the determined probability that the user of the computerized video game will purchase the virtual good or service of the computerized video game; and

sending, by the first computing system and for receipt by the second computing system at which the computerized video game is executing, information that identifies the recommendation which was selected by the first computer system through use of the determined probability, in order to cause the second computing system to display, to the user within the computerized video game, the recommendation to purchase the virtual good or service.

6. The system of claim 5, wherein the method further comprises, before the first computing system selects the recommendation that the user purchase the virtual good or service of the computerized video game from among the collection of recommendations, identifying, by the first computing system, the collection of recommendations as a subset of a plurality of recommendations that:

(i) apply once the predetermined event has occurred, and

(ii) omit multiple recommendations from the plurality of recommendations that were previously presented to the user.

7. The system of claim 5, wherein the collection of recommendations includes a recommendation to share information about the computerized video game with other individuals through use of a social network.

8. The system of claim 5, wherein the method further comprises determining, by the first computing system, that the user responded to the recommendation that the user purchase the virtual good or service of the computerized video game, and as a result, modifying the particular computer-executable prediction model.