Heuristic context prediction engine
A heuristic engine includes capabilities to collect an unstructured data set and a current business context. Providing a heuristic algorithm, executing within the engine, with the data set and the context may allow determination of predicted future contexts and subsequent actions that refine and improve the quality of service provided to a customer. Such heuristic algorithms may learn from past data transactions and appropriate correlations with events and available data.
1. A computer-implemented method, executed with processor, comprising:
retrieving, by the processor, an un-structured website history transaction data set stored in a first memory;
receiving, by the processor and from a network interface device, an identifier uniquely identifying a user of a plurality of users;
accessing, by the processor, a heuristic algorithm stored in a second memory;
executing the heuristic algorithm, by the processor, and using the un-structured website history transaction data set and the identifier, wherein executing the heuristic algorithm causes the heuristic algorithm to output a correlation score associated with the user;
predicting, by the processor and using the correlation score, a first context indicating a user category;
generating, by the processor and using the first context, a predicted question of the user; and
updating, by the processor and based at least in part on the predicted question, the heuristic algorithm in the second memory using a second context received from the network interface device.
2. The computer-implemented method of claim 1 , wherein the identifier comprises an internet network address.
3. The computer-implemented method of claim 1 , wherein the identifier comprises a source telephone number.
4. The computer-implemented method of claim 1 , wherein the un-structured website history transaction data set comprises past transactions related to at least one account.
5. The computer-implemented method of claim 1 , wherein the first memory comprises an external transaction server.
6. The computer-implemented method of claim 1 , wherein the second memory comprises an external heuristic server.
7. The computer-implemented method of claim 1 , wherein the un-structured website history transaction data set corresponds to the identifier provided via a human-machine interface.
8. The computer-implemented method of claim 1 , further comprising:
receiving, by the processor, the second context, wherein the second context comprises a question from the user;
determining, by the processor, a difference between the predicted question and the second context; and
updating, by the processor and in response to determining the difference, the heuristic algorithm in the second memory.
9. The computer-implemented method of claim 1 , further comprising:
receiving a question from the user; and
predicting, based at least in part on the question, the first context.
10. A computer system comprising one or more processors configured to:
retrieve an un-structured website history transaction data set stored in a first memory;
receive, from a network interface device, an identifier uniquely identifying a user of a plurality of users;
access a heuristic algorithm stored in a second memory;
execute the heuristic algorithm, using the un-structured website history transaction data set and the identifier, wherein executing the heuristic algorithm causes the heuristic algorithm to output a correlation score associated with the user;
predict, using the correlation score, a first context indicating a user category;
generate, using the first context, a predicted question of the user; and
update, based at least in part on the predicted question, the heuristic algorithm in the second memory using a second context received from the network interface device.
11. The computer system of claim 10 , wherein the identifier comprises an internet network address.
12. The computer system of claim 10 , wherein the identifier comprises a source telephone number.
13. The computer system of claim 10 , wherein the un-structured website history transaction data set comprises past transactions related to at least one account.
14. The computer system of claim 10 , wherein the first memory comprises an external transaction server, and the second memory comprises an external heuristic server.
15. A non-transitory computer readable medium, comprising computer readable instructions that, when executed by processor, cause the processor to perform acts comprising:
retrieving an un-structured website history transaction data set stored in a first memory;
receiving, from a network interface device, an identifier uniquely identifying a user of a plurality of users;
accessing a heuristic algorithm stored in a second memory;
executing the heuristic algorithm, using the un-structured website history transaction data set and the identifier, wherein executing the heuristic algorithm causes the heuristic algorithm to output a correlation score associated with the user;
predicting, using the correlation score, a first context indicating a user category;
generating, using the first context, a predicted question of the user; and
updating, based at least in part on the predicted question, the heuristic algorithm in the second memory using a second context received from the network interface device.
16. The non-transitory computer readable medium of claim 15 , wherein the identifier comprises an internet network address.
17. The non-transitory computer readable medium of claim 15 , wherein the identifier comprises a source telephone number.
18. The non-transitory computer readable medium of claim 15 , wherein the un-structured website history transaction data set comprises past transactions related to at least one account.
19. The non-transitory computer readable medium of claim 15 , wherein the first memory comprises an external transaction server, and the second memory comprises an external heuristic server.
20. The non-transitory computer readable medium of claim 15 , wherein the un-structured website history transaction data set corresponds to the identifier provided via a human-machine interface.