Systems and methods for identifying similar electronic content items

1. A computer-implemented method, comprising:

receiving a primary issue creation event record for a primary issue, the primary issue creation event record including a user-supplied description of the primary issue, the user-supplied description including user-supplied textual content;

encoding the primary issue into a primary vector number based at least in part on the user-supplied textual content;

identifying candidate issues and retrieving candidate vector numbers of the identified candidate issues;

computing distances between the primary vector number and each of the candidate vector numbers;

determining whether an incident criteria is met based on the computed distances; and

determining that an incident has occurred upon determining that the incident criteria is met and generating an alert.

2. The computer-implemented method of claim 1 , further comprising:

identifying one or more relevant users to communicate the alert to; and

communicating the alert to the identified relevant users.

3. The computer-implemented method of claim 2 , further comprising creating an incident dashboard, and communicating the alert to the identified relevant users comprises communicating a pointer to the incident dashboard.

4. The computer-implemented method of claim 1 , wherein the incident criteria is met if a threshold number of the candidate vector numbers are computed to be within a threshold distance of the primary vector number.

5. The computer-implemented method of claim 3 further comprising:

receiving a second issue creation event record for a second issue, the second issue creation event record including a second user-supplied description of the second issue, the second user-supplied description including second user-supplied textual content;

encoding the second issue into a second vector number based at least in part on the second user-supplied textual content;

computing a distance between the primary vector number and the second vector number;

determining whether the second issue is similar to the primary issue based on the computed distance; and

upon determining that the second issue is similar to the primary issue updating the incident dashboard to include information about the second issue.

6. The computer-implemented method of claim 1 , further comprising:

receiving a second issue creation event record for a second issue, the second issue creation event record including a second user-supplied description of the second issue, the second user-supplied description including second user-supplied textual content;

encoding the second issue into a second vector number based at least in part on the second user-supplied textual content;

computing a distance between the primary vector number and the second vector number;

determining whether the second issue is similar to the primary issue based on the computed distance;

upon determining that the second issue is not similar to the primary issue, assigning the second issue as the primary issue.

7. The method of claim 1 , wherein the primary vector number and the candidate vector numbers are generated using a word embedding model.

8. Non-transitory computer readable media storing instructions, which when executed by a processor cause the processor to perform a method, comprising:

receiving a primary issue creation event record for a primary issue, the primary issue creation event record including a user-supplied description of the primary issue, the user-supplied description including user-supplied textual content;

encoding the primary issue into a primary vector number based at least in part on the user-supplied textual content;

identifying candidate issues and retrieving candidate vector numbers of the identified candidate issues;

computing distances between the primary vector number and each of the candidate vector numbers;

determining whether an incident criteria is met based on the computed distances; and

determining that an incident has occurred upon determining that the incident criteria is met and generating an alert.

9. The non-transitory computer readable media of claim 8 , further comprising instructions which when performed by the processor cause the processor to:

identify one or more relevant users to communicate the alert to; and

communicate the alert to the identified relevant users.

10. The non-transitory computer readable media of claim 9 , further comprising instructions which when performed by the processor cause the processor to create an incident dashboard, and communicating the alert to the identified relevant users comprises communicating a pointer to the incident dashboard.

11. The non-transitory computer readable media of claim 8 , wherein the incident criteria is met if a threshold number of the candidate vector numbers are computed to be within a threshold distance of the primary vector number.

12. The non-transitory computer readable media of claim 10 , further comprising instructions which when performed by the processor cause the processor to:

receive a second issue creation event record for a second issue, the second issue creation event record including a second user-supplied description of the second issue the second user-supplied description including second user-supplied textual content;

encode the second issue into a second vector number based at least in part on the second user-supplied textual content;

compute a distance between the primary vector number and the second vector number;

determine whether the second issue is similar to the primary issue based on the computed distance;

upon determining that the second issue is similar to the primary issue, update the incident dashboard to include information about the second issue.

13. The non-transitory computer readable media of claim 8 , further comprising instructions, which when executed by the processor cause the processor to:

receive a second issue creation event record for a second issue, the second issue creation event record including a second user-supplied description of the second issue, the second user-supplied description including second user-supplied textual content;

encode the second issue into a second vector number based at least in part on the second user-supplied textual content;

compute a distance between the primary vector number and the second vector number;

determine whether the second issue is similar to the primary issue based on the computed distance;

upon determining that the second issue is not similar to the primary issue, assign the second issue as the primary issue.

14. The non-transitory computer readable media of claim 8 , wherein the primary vector number and the candidate vector numbers are generated using a word-embedding model.

15. A computer system comprising:

one or more processors;

memory in communication with the one or more processors, the memory comprising instructions to:

receive a primary issue creation event record for a primary issue, the primary issue creation event record including a user-supplied description of the primary issue, the user-supplied description including user-supplied textual content;

encode the primary issue into a primary vector number based at least in part on the user-supplied textual content;

identify candidate issues and retrieve candidate vector numbers of the identified candidate issues;

compute distances between the primary vector number and each of the candidate vector numbers;

determine whether an incident criteria is met based on the computed distances; and

determine that an incident has occurred upon determining that the incident criteria is met and generate an alert.

16. The computer system of claim 15 , wherein the memory further comprising instructions to:

identify one or more relevant users to communicate the alert to; and

communicate the alert to the identified relevant users.

17. The computer system of claim 16 , wherein the memory further comprising instructions to create an incident dashboard, and communicating the alert to the identified relevant users comprises communicating a pointer to the incident dashboard.

18. The computer system of claim 15 , wherein the incident criteria is met if a threshold number of the candidate vector numbers are computed to be within a threshold distance of the primary vector number.

19. The computer system of claim 17 wherein the memory further comprising instructions to:

receive a second issue creation event record for a second issue, the second issue creation event record including a second user-supplied description of the second issue, the second user-supplied description including second user-supplied textual content;

encode the second issue into a second vector number based at least in part on the second user-supplied textual content;

compute a distance between the primary vector number and the second vector number;

determine whether the second issue is similar to the primary issue based on the computed distance;

upon determining that the second issue is similar to the primary issue, update the incident dashboard to include information about the second issue.

20. The computer system of claim 15 , wherein the memory further comprising instructions to:

receive a second issue creation event record for a second issue, the second issue creation event record including a second user-supplied description of the second issue, the second user-supplied description including second user-supplied textual content;

encode the second issue into a second vector number based at least in part on the second user-supplied textual content;

compute a distance between the primary vector number and the second vector number;

determine whether the second issue is similar to the primary issue based on the computed distance;

upon determining that the second issue is not similar to the primary issue, assign the second issue as the primary issue.