Abstract: Techniques for identifying similarity between a primary content item and candidate content items are disclosed. The techniques include receiving a similarity request from a client device, the similarity request including contextual data about a primary content item; determining a vector number for the primary content item using the contextual data; identifying candidate content items based on the contextual data; retrieving vector numbers for the identified candidate content items; computing a distance between the vector number of the primary content item and the vector number of each of the candidate content items; ranking the candidate content items based on their computed distance from the primary content item; and selecting at least a subset of the ranked candidate content items as similar content items and communicating the selected subset of the ranked candidate content items to the client device for display on a display of the client device.

Abstract: A collaboration platform for implicitly determining user collaborations in real time or near real time is disclosed. The collaboration platform monitors event records generated based on user interactions with various team-based tools/collaborative applications to generate collaboration scores that provide a real time picture of a user's interactions with other users, and a user's interactions with content/objects/projects in the tools/collaborative applications. The collaboration platform also monitors user interactions with specific sub-projects to determine at any given time the users actively involved in any given project or sub-project.

Abstract: Systems, methods and non-transitory computer readable media for detecting incidents are disclosed. The method includes receiving a primary issue creation event record for a primary issue, the event record including a description of the primary issue, and encoding the primary issue into a primary vector number based on the description of the primary issue. The method further includes identifying candidate issues and retrieving vector numbers of the identified candidate issues, computing distances between the primary vector number and each of the candidate vector numbers, and determining whether incident criteria is met based on the computed distances. In addition, the method includes determining that an incident has occurred upon determining that the incident criteria is met and generating an alert.

Abstract: Systems, methods and non-transitory computer readable media for detecting incidents are disclosed. The method includes receiving a primary issue creation event record for a primary issue, the event record including a description of the primary issue, and encoding the primary issue into a primary vector number based on the description of the primary issue. The method further includes identifying candidate issues and retrieving vector numbers of the identified candidate issues, computing distances between the primary vector number and each of the candidate vector numbers, and determining whether incident criteria is met based on the computed distances. In addition, the method includes determining that an incident has occurred upon determining that the incident criteria is met and generating an alert.

Abstract: Techniques for identifying similarity between a primary content item and candidate content items are disclosed. The techniques include receiving a similarity request from a client device, the similarity request including contextual data about a primary content item; determining a vector number for the primary content item using the contextual data; identifying candidate content items based on the contextual data; retrieving vector numbers for the identified candidate content items; computing a distance between the vector number of the primary content item and the vector number of each of the candidate content items; ranking the candidate content items based on their computed distance from the primary content item; and selecting at least a subset of the ranked candidate content items as similar content items and communicating the selected subset of the ranked candidate content items to the client device for display on a display of the client device.

Abstract: A collaboration platform for implicitly determining user collaborations in real time or near real time is disclosed. The collaboration platform monitors event records generated based on user interactions with various team-based tools/collaborative applications to generate collaboration scores that provide a real time picture of a user's interactions with other users, and a user's interactions with content/objects/projects in the tools/collaborative applications. The collaboration platform also monitors user interactions with specific sub-projects to determine at any given time the users actively involved in any given project or sub-project.