Systems and methods of providing outcomes based on collective intelligence experience

• US 10,437,889 B2
• Filed: 07/07/2015
• Issued: 10/08/2019
• Est. Priority Date: 01/31/2013
• Status: Expired due to Fees

• Current Assignee: Alexander Greystoke
• Original Assignee: LF Technology Development Corporation Limited
• Inventors: Greystoke, Alexander, Blick, Shy
• Primary Examiner(s): Airapetian, Mila
• Application Number:
  US14/793,618
• Publication Number:
  US 20150310131A1
• Time in Patent Office: 1,554 Days
• Field of Search: 705 267, 705347
• CPC Class Codes: G06F 16/9038 Presentation of query results
• CPC Class Codes: G06F 16/951 Indexing; Web crawling techniques
• CPC Class Codes: G06Q 30/0619 Neutral agent

Abstract

Embodiments of a collective intelligence experience system and method may include a processor and a memory accessible to the processor. The memory may be configured to store instructions that, when executed, cause the processor to provide one or more recommended searches to an interface based on collective information and in response to input data at the interface. In some embodiments, with respect to the one or more recommended searches, the system may provide recommendations, advice, associated data, or any combination thereof. In some embodiments, the collective intelligence experience system may determine a true value of a product, a service, or information based on a context of the request at a point in time.

Claims

1. A method for implementing a collective intelligence experience, the method comprising:

receiving input data at an interface of a computing system, the input data corresponding to a search initiated by a consumer;

automatically determining one or more parameters associated with the consumer based in part on the input data;

selecting one or more digital personas from a plurality of digital personas based on the one or more parameters, the one or more digital personas including a first digital persona, a second digital persona, and a third digital persona, the first digital persona representing at least one first characteristic of the consumer, the second digital persona representing at least one second characteristic of the consumer, the third digital persona representing one or more characteristics of a group of consumers;

generating one or more instantiations of an artificial intelligence engine for each of the one or more digital personas, the one or more instantiations including a first instantiation, a second instantiation, and a third instantiation;

initializing each of the one or more instantiations with a selected one of the one or more digital personas, the first instantiation initialized with the first digital persona, the second instantiation initialized with the second digital persona, the third instantiation initialized with the third digital persona;

determining, using the third instantiation, one or more recommended searches from historical data associated with a plurality of other consumers using the artificial intelligence engine, from one or more outcomes inferred by the artificial intelligence engine based on the input data, and from one or more yield management rules determined from historical data, the one or more recommended searches including search logic having previously identified inventory items of interest to other consumers having similar parameters to the one or more parameters associated with the consumer as represented by the third digital persona;

determining, based on the input data, a first set of searches using the first instantiation, a second set of searches using the second instantiation, and a third set of searches using the third instantiation, the third set of searches including the one or more recommended searches;

providing a graphical user interface including data related to the first set, the second set, and the third set, the graphical user interface including one or more search results based on at least one of the input data and the one or more recommended searches and including at least one user-selectable element accessible by the consumer to access search logic and associated outcomes derived from collective intelligence experience of other users'"'"' interactions with the computing system.

2. The method of claim 1, further comprising:

generating the collective information based on search data and successful outcomes from multiple users; and

determining the one or more recommended searches based on the collective information.

3. The method of claim 1, further comprising providing the recommended search and associated data representing potential outcomes within the graphical user interface.

4. The method of claim 1, further comprising:

providing the interface to a client device;

receiving the input data at the interface; and

providing one or more recommended searches within the interface in response to receiving the input data.

5. The method of claim 1, further comprising generating the collective information based on prior searches, user selections, and feedback from a plurality of users.

6. The method of claim 1, further comprising determining an intention based on the input data, the one or more recommended searches determined based on the intention.

7. The method of claim 1, further comprising including at least one result determined by a yield management system based on one or more yield management rules.

8. The method of claim 1, further comprising providing advice about which of the one or more recommended searches a client should select.

9. A system comprising:

an interface configured to communicate with one or more remote devices through a communications network;

a processor coupled to the interface; and

a memory accessible to the processor and including instructions that, when executed, cause the processor to;

receive data corresponding to an input from the interface;

determine one or more parameters of a consumer associated with the input;

select a first digital persona from a plurality of digital personas, the first digital persona representing one or more characteristics of a consumer;

select a second digital persona from the plurality of digital personas, the second digital persona representing one or more characteristics of a group of consumers;

configure a first instantiation of an artificial intelligence engine with the first digital persona;

configure a second instantiation of the artificial intelligence engine with the second digital persona;

search one or more data sources based on the received data to receive results;

process the results using the first instantiation to determine a first set of results;

determine collective information, using the second instantiation, the collective information including search logic of a plurality of searches by other consumers having similar parameters to the one or more parameters associated with the consumer as represented by the second digital persona, the determined search logic having been performed previously to identify inventory items of interest to the other consumers;

automatically analyze the collective information using the second instantiation of the artificial intelligence engine to determine one or more recommended searches based on the collective information in response to receiving the data; and

generate, using a graphical user interface module, an interface including the first set of results and including at least one user-selectable element accessible by a user to view the one or more recommended searches, the interface further including data representing possible outcomes of the one or more recommended searches.

10. The system of claim 9, further comprising the memory includes instructions that, when executed, cause the processor to:

receive an input corresponding to selection of one of the one or more recommended searches; and

provide search results to the interface including search results corresponding to the selection.

11. The system of claim 9, wherein the data representing possible outcomes comprises a number of available options that may be accessed in response to selection of one of the one or more recommended searches.

12. The system of claim 9, the data representing possible outcomes comprises an explanation of available options that may be accessed in response to selection of one of the one or more recommended searches.

13. The system of claim 9, wherein the associated recommendation comprises one or more reasons why a user should select one of the one or more searches as being better than the input.

14. The system of claim 9, wherein the memory further includes instructions that, when executed, cause the processor to:

receive a query corresponding to the input;

identify first search results based on the query; and

identify second search results based on at least one of the one or more recommended searches.

15. The system of claim 14, wherein the memory includes instructions that, when executed, cause the processor to provide the first search results and the second search results to the interface.

16. A computer readable memory device including instructions that, when executed, cause a processor to perform a method comprising:

generating an interface including one or more selectable elements accessible by a user to provide a user input;

receiving data corresponding to an input;

determining one or more parameters associated with the user based in part on the input data;

selecting digital personas from a plurality of digital personas, the digital personas including a first digital persona representing one or more characteristics of a consumer and including a second digital persona representing one or more characteristics of a group of consumers;

initializing instantiations of an artificial intelligence engine with the digital personas including a first instantiation initialized with the first digital persona and a second instantiation initialized with the second digital persona;

searching one or more data sources based on the received data to determine results;

evaluating, using the initialized instantiations, the results to produce a set of results for each of the initialized instantiations;

selecting first search results for the user based on the first instantiation initialized with the first digital persona associated with the user;

determining, using the second instantiation of the artificial intelligence engine, search logic of a plurality of searches from collective information including historical data associated with a plurality of other consumers, one or more outcomes inferred by the artificial intelligence engine based on the input data, and yield management rules determined from historical data;

automatically processing the search logic using the second instantiation of the artificial intelligence engine to determine one or more recommended searches related to the data and based on collective information other than the input; and

providing a results interface including the selected search results and including the one or more recommended searches and associated information from the artificial intelligence engine.

17. The computer readable memory device of claim 16, wherein the associated information comprises a recommendation indicating which of the one or more recommended searches should be selected.

18. The computer readable memory device of claim 17, wherein the associated information further comprises one or more reasons for the recommendation.

19. The computer readable memory device of claim 17, wherein the associated information further comprises a number of available options associated with each of the one or more recommended searches.

20. The computer readable memory device of claim 16, further including instructions that, when executed, cause a processor to perform the method further comprising:

providing an interface to a destination device that includes at least one of first search results related to the user input and second search results related to at least one of the one or more recommended searches.