Method for refining cognitive insights using travel-related cognitive graph vectors

Inventors: Kyle W. Kothe (Austin, TX); Scott E. Goldberg (Venice, CA); John N. Faith (Austin, TX)

Assignee: REALPAGE INC.

G06F16/31

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Quick Facts

Patent No.: US 10,846,315
App. No.: 16/409,521
Granted: Nov 24, 2020
Kind: B2

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Abstract

A method, system and computer-usable medium are disclosed for using travel-related cognitive graph vectors.

Claims (55)

1. A cognitive inference and learning system for determining a cognitive insight using a cognitive graph vector comprising:

a data store storing a cognitive graph including travel-related data, the cognitive graph representing travel-related knowledge with a set of nodes and links between the nodes;

a processor; and a non-transitory computer readable medium including instructions for:

associating a first subset of the set of nodes and links of the cognitive graph with a first cognitive graph vector, wherein the first cognitive graph vector comprises a first cognitive graph vector index extending along the first cognitive graph vector away from a cognitive graph nexus, wherein a specificity of the first cognitive graph vector index increases with proximity to the cognitive graph nexus and the first cognitive graph vector index corresponds to a first travel-related attribute;

receiving a user query;

generating a first cognitive graph vector parameter for the first cognitive graph vector based on the user query or a user interaction with the cognitive inference and learning system;

generating an initial travel-related cognitive insight from the cognitive graph;

generating a graph query based on the user query and the first cognitive graph vector parameter;

querying, with the graph query, a second subset of the set of nodes and links of the cognitive graph defined by the first cognitive graph vector parameter and first cognitive graph vector to generate second travel-related cognitive insight;

returning the second travel-related cognitive insight in response to the user query;

associating a third subset of the set of nodes and links of the cognitive graph with a second cognitive graph vector, wherein the second cognitive graph vector comprises a second cognitive graph vector index extending along the second cognitive graph vector away from the cognitive graph nexus, wherein a specificity of the second cognitive graph vector index increases with proximity to the cognitive graph nexus and the second cognitive graph vector index corresponds to a second travel-related attribute;

generating a second cognitive graph vector parameter for the second cognitive graph vector based on the user query or the user interaction with the cognitive inference and learning system, wherein

generating the initial travel-related cognitive insight from the cognitive graph is based on the second cognitive graph vector parameter,

generating the graph query is based on the second cognitive graph vector parameter, and

the second subset of the set of nodes and links of the cognitive graph is defined by the second cognitive graph vector and the second cognitive graph vector parameter.

2. The system of claim 1 , wherein the initial travel-related cognitive insight is generated based on the first cognitive graph vector parameter, the first cognitive graph vector, the second cognitive graph vector parameter and the second cognitive graph vector.

3. The system of claim 2 , wherein the first cognitive graph vector and second cognitive graph vector are associated with a travel-related attribute comprising one or more of who, how, why, where, when or what.

4. The system of claim 1 , wherein each of the first cognitive graph vector and second cognitive graph vector are associated with a predetermined subset of the set of nodes and links of the cognitive graph.

5. The system of claim 1 , wherein the user query is evaluated to determine that the first cognitive graph vector parameter is to be determined for the first cognitive graph vector.

6. A non-transitory computer readable medium storing instructions for generating a cognitive insight using a cognitive graph vector by:

storing a cognitive graph including travel-related data from a plurality of data sources graph comprising a set of nodes and links between the nodes that represent travel-related knowledge;