Travel-related cognitive profiles

• US 10,083,399 B2
• Filed: 06/05/2015
• Issued: 09/25/2018
• Est. Priority Date: 06/09/2014
• Status: Active Grant

• Current Assignee: RealPage Incorporated
• Original Assignee: WayBlazer, Inc
• Inventors: Faith, John N., Kothe, Kyle W.
• Primary Examiner(s): Hill, Stanley K
• Application Number:
  US14/731,855
• Publication Number:
  US 20150356417A1
• Time in Patent Office: 1,208 Days
• Field of Search: None
• CPC Class Codes: G06F 13/4208 being a system bus, e.g. VME bus, Futurebus, Multibus
• CPC Class Codes: G06F 16/24568 Data stream processing; Continuous queries
• CPC Class Codes: G06F 16/2465 Query processing support for facilitating data mining operations in structured databases
• CPC Class Codes: G06F 16/287 Visualization; Browsing
• CPC Class Codes: G06F 16/9024 Graphs; Linked lists G06F16/9027 takes precedence
• CPC Class Codes: G06F 16/955 using information identifiers, e.g. uniform resource locators [URL]
• CPC Class Codes: G06F 16/972 Access to data in other repository systems, e.g. legacy data or dynamic Web page generation
• CPC Class Codes: G06N 20/00 Machine learning
• CPC Class Codes: G06N 5/022 Knowledge engineering; Knowledge acquisition
• CPC Class Codes: G06N 5/04 Inference or reasoning models
• CPC Class Codes: G06Q 30/0241 Advertisements
• CPC Class Codes: G06Q 30/0269 based on user profile or attribute
• CPC Class Codes: G06Q 30/0277 Online advertisement
• CPC Class Codes: H04W 4/025 using location based information parameters

Abstract

A method, system and computer-usable medium for performing cognitive computing operations comprising receiving streams of data from a plurality of data sources; processing the streams of data from the plurality of data sources, the processing the streams of data from the plurality of data sources performing data enriching for incorporation into a cognitive graph; defining a travel-related cognitive persona within the cognitive graph, the travel-related cognitive persona corresponding to an archetype user model, the travel-related cognitive persona comprising a set of nodes in the cognitive graph; associating a user with the travel-related cognitive persona; defining a travel-related cognitive profile within the cognitive graph, the travel-related cognitive profile comprising an instance of the travel-related cognitive persona that references personal data associated with the user; associating the user with the travel-related cognitive profile; and, performing a cognitive computing operation based upon the travel-related cognitive profile associated with the user.

Claims

1. A computer-implementable method for performing cognitive computing operations comprising:

receiving streams of data from a plurality of data sources;

processing the streams of data from the plurality of data sources, the processing the streams of data from the plurality of data sources performing data enriching for incorporation into a cognitive graph comprising a set of nodes and links between the nodes that represent travel-related knowledge by;

processing the streams of data from the plurality of data sources to perform entity detection on the streams of data from the plurality of data sources, and

incorporating the enriched data into the cognitive graph by incorporating one or more entities determined from the entity detection into the cognitive graph by;

generating one or more sub-graphs comprising at least one node representing the one or more entities determined from the entity detection, and

incorporating the one or more sub-graphs into the cognitive graph so that the cognitive graph includes at least one node representing those one or more entitles and one or more links between the at least one node representing those one or more entitles and one or more of the other set of nodes of the cognitive graph;

defining a travel-related cognitive persona within the cognitive graph, wherein the travel-related cognitive persona corresponds to an archetype user model and the travel-related cognitive persona comprises a sub-graph within the cognitive graph including a subset of the set of nodes in the cognitive graph and a subset of the links among the set of nodes;

associating a user with the travel-related cognitive persona by defining a travel-related cognitive profile within the cognitive graph, the travel-related cognitive profile comprising an association between the travel-related cognitive persona that references personal data associated with the user represented as at least one node of the cognitive graph; and

generating a cognitive insight including data from a node of the cognitive graph associated with the user and the travel-related cognitive persona by traversing the cognitive graph based on a graph query and the travel-related cognitive profile associated with the user to determine the node of the cognitive graph including the data.

2. The method of claim 1, wherein:

the personal data comprises data associated with an interaction of the user with the cognitive graph.

3. The method of claim 1, wherein:

the personal data is distributed among the plurality of data sources.

4. The method of claim 3, further comprising:

aggregating the personal data distributed among the plurality of data sources to define the travel-related cognitive profile.

5. The method of claim 1, wherein:

the travel-related cognitive profile represents a plurality of attributes associated with the user; and

each of the plurality of attributes corresponds to a node within the set of nodes in the cognitive graph.

6. The method of claim 1, further comprising:

receiving user provided personal information; and

, associating the user with the travel-related cognitive profile based upon user provided personal information.

7. A cognitive computing system comprising:

a processor; and

a non-transitory computer-readable storage medium embodying computer program code, the non-transitory computer-readable storage medium comprising instructions executable by the processor for;

receiving streams of data from a plurality of data sources;

processing the streams of data from the plurality of data sources, the processing the streams of data from the plurality of data sources performing data enriching for incorporation into a cognitive graph comprising a set of nodes and links between the nodes that represent travel-related knowledge by;

processing the streams of data from the plurality of data sources to perform entity detection on the streams of data from the plurality of data sources, and

incorporating the enriched data into the cognitive graph by incorporating one or more entities determined from the entity detection into the cognitive graph by;

generating one or more sub-graphs comprising at least one node representing the one or more entities determined from the entity detection, and

incorporating the one or more sub-graphs into the cognitive graph so that the cognitive graph includes at least one node representing those one or more entitles and one or more links between the at least one node representing those one or more entitles and one or more of the other set of nodes of the cognitive graph;

defining a travel-related cognitive persona within the cognitive graph, wherein the travel-related cognitive persona corresponds to an archetype user model and the travel-related cognitive persona comprises a sub-graph within the cognitive graph including a subset of the set of nodes in the cognitive graph and a subset of the links among the set of nodes;

associating a user with the travel-related cognitive persona by defining a travel-related cognitive profile within the cognitive graph, the travel-related cognitive profile comprising an association between the travel-related cognitive persona that references personal data associated with the user represented as at least one node of the cognitive graph; and

generating a cognitive insight including data from a node of the cognitive graph associated with the user and the travel-related cognitive persona by traversing the cognitive graph based on a graph query and the travel-related cognitive profile associated with the user to determine the node of the cognitive graph including the data.

8. The system of claim 7, wherein:

the personal data comprises data associated with an interaction of the user with the cognitive graph.

9. The system of claim 7, wherein:

the personal data is distributed among the plurality of data sources.

10. The system of claim 9, further comprising:

aggregating the personal data distributed among the plurality of data sources to define the travel-related cognitive profile.

11. The system of claim 7, wherein:

the travel-related cognitive profile represents a plurality of attributes associated with the user; and

each of the plurality of attributes corresponds to a node within the set of nodes in the cognitive graph.

12. The system of claim 7, further comprising:

receiving user provided personal information; and

, associating the user with the travel-related cognitive profile based upon user provided personal information.

13. A non-transitory computer readable medium, comprising instructions for:

receiving streams of data from a plurality of data sources;

processing the streams of data from the plurality of data sources, the processing the streams of data from the plurality of data sources performing data enriching for incorporation into a cognitive graph comprising a set of nodes and links between the nodes that represent travel-related knowledge by;

processing the streams of data from the plurality of data sources to perform entity detection on the streams of data from the plurality of data sources, and

incorporating the enriched data into the cognitive graph by incorporating one or more entities determined from the entity detection into the cognitive graph by;

generating one or more sub-graphs comprising at least one node representing the one or more entities determined from the entity detection, and

incorporating the one or more sub-graphs into the cognitive graph so that the cognitive graph includes at least one node representing those one or more entitles and one or more links between the at least one node representing those one or more entitles and one or more of the other set of nodes of the cognitive graph;

defining a travel-related cognitive persona within the cognitive graph, wherein the travel-related cognitive persona corresponds to an archetype user model and the travel-related cognitive persona comprises a sub-graph within the cognitive graph including a subset of the set of nodes in the cognitive graph and a subset of the links among the set of nodes;

associating a user with the travel-related cognitive persona by defining a travel-related cognitive profile within the cognitive graph, the travel-related cognitive profile comprising an association between the travel-related cognitive persona that references personal data associated with the user represented as at least one node of the cognitive graph; and

generating a cognitive insight including data from a node of the cognitive graph associated with the user and the travel-related cognitive persona by traversing the cognitive graph based on a graph query and the travel-related cognitive profile associated with the user to determine the node of the cognitive graph including the data.

14. The non-transitory computer readable medium of claim 13, wherein:

the personal data comprises data associated with an interaction of the user with the cognitive graph.

15. The non-transitory computer readable medium of claim 13, wherein:

the personal data is distributed among the plurality of data sources.

16. The non-transitory computer readable medium of claim 15, further comprising:

aggregating the personal data distributed among the plurality of data sources to define the travel-related cognitive profile.

17. The non-transitory computer readable medium of claim 13, wherein:

the travel-related cognitive profile represents a plurality of attributes associated with the user; and

each of the plurality of attributes corresponds to a node within the set of nodes in the cognitive graph.

18. The non-transitory computer readable medium of claim 13, further comprising:

receiving user provided personal information; and

, associating the user with the travel-related cognitive profile based upon user provided personal information.