Sentiments based transaction systems and methods

• US 10,453,097 B2
• Filed: 01/13/2015
• Issued: 10/22/2019
• Est. Priority Date: 01/13/2014
• Status: Active Grant

• Current Assignee: Nant Holdings IP, LLC (NantWorks, LLC)
• Original Assignee: Nant Holdings IP, LLC (NantWorks, LLC)
• Inventors: Soon-Shiong, Patrick
• Primary Examiner(s): Refai, Sam
• Assistant Examiner(s): Shorter, Rashida R
• Application Number:
  US14/596,090
• Publication Number:
  US 20150199730A1
• Time in Patent Office: 1,743 Days
• Field of Search: None
• CPC Class Codes: G06Q 30/0269 based on user profile or attribute

Abstract

Systems and methods of facilitating transactions related to targeted or customized commercial offerings based on derived sentiment states are provided. The sentiment states are derived from digital representations such as images, videos and sound recordings.

Claims

1. A system for providing a commercial offering to a person comprising:

a digital sensor configured to capture a digital representation of a scene;

a characteristics database storing a plurality of sentiment characteristics;

a sentiments database storing a plurality of sentiment states, wherein each sentiment state of the plurality of sentiment states is associated with a set of sentiment characteristics;

a sentiments analysis engine coupled with the sentiments database, the characteristics database, and the digital sensor and programmed to;

obtain, via the digital sensor, digital data representative of the scene, including at least some data that is derived by executing an object recognition algorithm;

query the characteristics database with the digital data representative of the scene and apply a set of rules for associating sets of scene data with sentiment characteristics, including at least a rule requiring that at least two items of scene data are associated with a sentiment characteristic in the characteristics database for sentiment characteristics to be returned in response to querying the characteristics database; and

query the sentiments database with the first set of sentiment characteristics to determine a first sentiment state of the plurality of sentiment states that is associated with the digital data, wherein a sentiment state is a valid match to sentiment characteristics even where one or more of the characteristics associated with the state are not present;

a commerce database storing a plurality of commercial offerings associated with a second plurality of sentiment states including the first sentiment state, wherein at least one of the commercial offerings of the plurality of commercial offerings is associated with the first sentiment state; and

a commerce analysis engine programmed to;

query the commerce database to determine a first commercial offering that is associated with the first sentiment state from the plurality of commercial offerings, based at least in part on a ranking according to a fitness measure, indicating to what degree the respective sentiment states satisfy the query, wherein the fitness measure is calculated as a Hamming distance for queries comprising a vector or, for other queries, as a count of a number of criteria that match between the query and the first sentiment state; and

use the first commercial offering to facilitate a transaction between the person and a vendor associated with the first commercial offering.

2. The system of claim 1, wherein the digital data comprises the digital representation of the scene.

3. The system of claim 1, wherein the digital data comprises scene data derived from the digital representation of the scene.

4. The system of claim 1, wherein the digital representation comprises an image.

5. The system of claim 1, wherein the digital representation comprises a sound.

6. The system of claim 1, wherein the plurality of sentiment states includes at least one of an emotional, a cognitive and a body-awareness state.

7. The system of claim 1, wherein at least one of the sentiments analysis engine and the commerce analysis engine is operated as a service distal to the person.

8. The system of claim 1, wherein the sentiments analysis engine is further programmed to determine a second sentiment state of the plurality of sentiment states that is associated with the digital data, and wherein the first commercial offering is associated with the first and second sentiment states.

9. The system of claim 1, further comprising a communications subsystem that provides a link to the person to facilitate the transaction.

10. The system of claim 1, further comprising a communications subsystem that provides a link to a vendor to facilitate the transaction.

11. The system of claim 1, further comprising a communications subsystem that further facilitates the transaction by initiating or causing the execution of at least one of a sale, purchase, license, and lease.

12. The system of claim 1, wherein the digital representation of the scene includes at least a representation of at least a portion of a face.

13. The system of claim 12, wherein the face comprises the person'"'"'s face.

14. The system of claim 1, wherein the sentiments analysis engine is further programmed to receive the digital data from a device that is not carried by the person.

15. The system of claim 1, wherein a sentiment state is a valid match to sentiment characteristics even where each of the characteristics associated with the state is not present.

16. The system of claim 1, wherein a sentiment characteristic is a valid match to scene data even where one or more of the items associated with the characteristic is not present.

17. A method for providing a commercial offering to a person, comprising:

capturing, by a digital sensor, a digital representation of a scene;

storing, at a characteristics database, a plurality of sentiment characteristics;

storing, at a sentiments database, a plurality of sentiment states, wherein each sentiment state of the plurality of sentiment states is associated with a set of sentiment characteristics;

obtaining, via the digital sensor, digital data representative of the scene, including at least some data that is derived by executing an object recognition algorithm;

querying the characteristics database with the digital data representative of the scene and applying a set of rules for associating sets of scene data with sentiment characteristics, including at least a rule requiring that at least two items of scene data are associated with a sentiment characteristic in the characteristics database for sentiment characteristics to be returned in response to querying the characteristics database;

querying the sentiments database with the first set of sentiment characteristics to determine a first sentiment state of the plurality of sentiment states that is associated with the digital data, wherein a sentiment state is a valid match to sentiment characteristics even where one or more of the characteristics associated with the state are not present;

storing, at a commerce database, a plurality of commercial offerings associated with a second plurality of sentiment states including the first sentiment state, wherein at least one of the commercial offerings of the plurality of commercial offerings is associated with the first sentiment state;

querying, by a commerce analysis engine, the commerce database, to determine a first commercial offering that is associated with the first sentiment state from the plurality of commercial offerings, based at least in part on a ranking according to a fitness measure, indicating to what degree the respective sentiment states satisfy the query, wherein the fitness measure is calculated as a Hamming distance for queries comprising a vector or, for other queries, as a count of a number of criteria that match between the query and the first sentiment state; and

using the first commercial offering to facilitate a transaction between the person and a vendor associated with the first commercial offering.

18. A non-transitory computer readable medium, storing instructions that, when executed, perform a method comprising:

capturing, by a digital sensor, a digital representation of a scene;

storing, at a characteristics database, a plurality of sentiment characteristics;

storing, at a sentiments database, a plurality of sentiment states, wherein each sentiment state of the plurality of sentiment states is associated with a set of sentiment characteristics;

obtaining, via the digital sensor, digital data representative of the scene, including at least some data that is derived by executing an object recognition algorithm;

querying the characteristics database with the digital data representative of the scene and applying a set of rules for associating sets of scene data with sentiment characteristics, including at least a rule requiring that at least two items of scene data are associated with a sentiment characteristic in the characteristics database for sentiment characteristics to be returned in response to querying the characteristics database;

querying the sentiments database with the first set of sentiment characteristics to determine a first sentiment state of the plurality of sentiment states that is associated with the digital data, wherein a sentiment state is a valid match to sentiment characteristics even where one or more of the characteristics associated with the state are not present;

storing, at a commerce database, a plurality of commercial offerings associated with a second plurality of sentiment states including the first sentiment state, wherein at least one of the commercial offerings of the plurality of commercial offerings is associated with the first sentiment state;

querying, by a commerce analysis engine, the commerce database, to determine a first commercial offering that is associated with the first sentiment state from the plurality of commercial offerings, based at least in part on a ranking according to a fitness measure, indicating to what degree the respective sentiment states satisfy the query, wherein the fitness measure is calculated as a Hamming distance for queries comprising a vector or, for other queries, as a count of a number of criteria that match between the query and the first sentiment state; and

using the first commercial offering to facilitate a transaction between the person and a vendor associated with the first commercial offering.