Abstract: Methods and systems for intelligently recommending selections for a selector control are disclosed. The method includes receiving a recommendation request from a selector control client, the recommendation request comprising a search string and a unique identifier of a user interacting with a selector control; identifying user identifiers of usernames matching the search string; retrieving machine learning features corresponding to the user identifiers of usernames matching the search string; applying a machine learning model to the retrieved machine learning features to assign weights to the retrieved machine learning features; computing recommendation scores for the user identifiers based on the assigned weights to the retrieved machine learning features; ranking the user identifiers based on the recommendation scores; and forwarding a ranked list of user identifiers to the selector control client for displaying in the selector control for selection by the user interacting with the selector control.

Abstract: In an embodiment, a computer-implemented data processing method comprises, in a collaborative electronic information management system that is hosted using a collaboration computer, establishing operation of a plurality of event listener units, wherein each of the event listener units is configured to communicate with or listen for a plurality of application events that have been generated by a particular corresponding external application; determining that one or more of the application events relate to a particular content item from among a plurality of content items that are managed in the system; generating and causing displaying, as a part of a graphical user interface of the system for a user account associated with a user computer, a set of notifications comprising one or more first notifications generated from the system and one or more second notifications that are based upon the application events, in association with data identifying the particular content item.

Abstract: Embodiments described herein relate to systems and methods for automatically generating content, generating API requests and/or request bodies, structuring user-generated content, and/or generating structured content in collaboration platforms, such as documentation systems, issue tracking systems, project management platforms, and other platforms. The systems and methods described use a network architecture that includes a prompt generation service and a set of one or more purpose-configured large language model instances (LLMs) and/or other trained classifiers or natural language processors used to provide generative responses for content collaboration platforms.

Abstract: Embodiments described herein relate to systems and methods for automatically generating content, generating API requests and/or request bodies, structuring user-generated content, and/or generating structured content in collaboration platforms, such as documentation systems, issue tracking systems, project management platforms, and other platforms. The systems and methods described use a network architecture that includes a prompt generation service and a set of one or more purpose-configured large language model instances (LLMs) and/or other trained classifiers or natural language processors used to provide generative responses for content collaboration platforms.

Abstract: In an embodiment, a computer-implemented data processing method comprises, in a collaborative electronic information management system that is hosted using a collaboration computer, establishing operation of a plurality of event listener units, wherein each of the event listener units is configured to communicate with or listen for a plurality of application events that have been generated by a particular corresponding external application; determining that one or more of the application events relate to a particular content item from among a plurality of content items that are managed in the system; generating and causing displaying, as a part of a graphical user interface of the system for a user account associated with a user computer, a set of notifications comprising one or more first notifications generated from the system and one or more second notifications that are based upon the application events, in association with data identifying the particular content item.

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: In an embodiment, a computer-implemented data processing method comprises, in a collaborative electronic information management system that is hosted using a collaboration computer, establishing operation of a plurality of event listener units, wherein each of the event listener units is configured to communicate with or listen for a plurality of application events that have been generated by a particular corresponding external application; determining that one or more of the application events relate to a particular content item from among a plurality of content items that are managed in the system; generating and causing displaying, as a part of a graphical user interface of the system for a user account associated with a user computer, a set of notifications comprising one or more first notifications generated from the system and one or more second notifications that are based upon the application events, in association with data identifying the particular content item.

Abstract: Systems and methods for intelligently pre-fetching data for input controls are disclosed. In particular, the disclosed systems and methods predict whether an input control is likely to be edited and only pre-fetches data for the input controls that have a high likelihood of being edited. This way, the presently disclosed systems and methods not only reduce latency in displaying recommended data results for input controls that are likely to be edited but also reduces the number of calls made to the backend server to retrieve the data as the data is not retrieved for all rendered input controls, but only the ones that are likely to be edited.

Abstract: Methods and systems for intelligently recommending selections for a selector control are disclosed. The method includes receiving a recommendation request from a selector control client, the recommendation request comprising a search string and a unique identifier of a user interacting with a selector control; identifying user identifiers of usernames matching the search string; retrieving machine learning features corresponding to the user identifiers of usernames matching the search string; applying a machine learning model to the retrieved machine learning features to assign weights to the retrieved machine learning features; computing recommendation scores for the user identifiers based on the assigned weights to the retrieved machine learning features; ranking the user identifiers based on the recommendation scores; and forwarding a ranked list of user identifiers to the selector control client for displaying in the selector control for selection by the user interacting with the selector control.

Abstract: A method for use in an issue creation process, before an issue is submitted, in an issue tracking system (ITS), comprises receiving an unstructured user input expressing an issue description and comprising one or more query keywords; querying a database of historic issue data to determine historic issues from the historic issue data that are relevant to the one or more query keywords and, in response to the determination, extracting request types from the historic issues; generating, from the extracted request types, a list of possible request types for allocation to the unstructured user input; receiving a user input of a particular request type selected from the list of possible request types and, in response, allocating the particular request type to the issue. The issue is submitted to the ITS for routing the issue to an appropriate service desk according to the particular request type.

Abstract: In an embodiment, a computer-implemented data processing method comprises, in a collaborative electronic information management system that is hosted using a collaboration computer, establishing operation of a plurality of event listener units, wherein each of the event listener units is configured to communicate with or listen for a plurality of application events that have been generated by a particular corresponding external application; determining that one or more of the application events relate to a particular content item from among a plurality of content items that are managed in the system; generating and causing displaying, as a part of a graphical user interface of the system for a user account associated with a user computer, a set of notifications comprising one or more first notifications generated from the system and one or more second notifications that are based upon the application events, in association with data identifying the particular content item.

Abstract: Methods and systems for intelligently recommending selections for a selector control are disclosed. The method includes receiving a recommendation request from a selector control client, the recommendation request comprising a search string and a unique identifier of a user interacting with a selector control; identifying user identifiers of usernames matching the search string; retrieving machine learning features corresponding to the user identifiers of usernames matching the search string; applying a machine learning model to the retrieved machine learning features to assign weights to the retrieved machine learning features; computing recommendation scores for the user identifiers based on the assigned weights to the retrieved machine learning features; ranking the user identifiers based on the recommendation scores; and forwarding a ranked list of user identifiers to the selector control client for displaying in the selector control for selection by the user interacting with the selector control.

Abstract: Systems and methods for intelligently pre-fetching data for input controls are disclosed. In particular, the disclosed systems and methods predict whether an input control is likely to be edited and only pre-fetches data for the input controls that have a high likelihood of being edited. This way, the presently disclosed systems and methods not only reduce latency in displaying recommended data results for input controls that are likely to be edited but also reduces the number of calls made to the backend server to retrieve the data as the data is not retrieved for all rendered input controls, but only the ones that are likely to be edited.

Abstract: Methods and systems for intelligently recommending selections for a selector control are disclosed. The method includes receiving a recommendation request from a selector control client, the recommendation request comprising a search string and a unique identifier of a user interacting with a selector control; identifying user identifiers of usernames matching the search string; retrieving machine learning features corresponding to the user identifiers of usernames matching the search string; applying a machine learning model to the retrieved machine learning features to assign weights to the retrieved machine learning features; computing recommendation scores for the user identifiers based on the assigned weights to the retrieved machine learning features; ranking the user identifiers based on the recommendation scores; and forwarding a ranked list of user identifiers to the selector control client for displaying in the selector control for selection by the user interacting with the selector control.

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 and methods for intelligently pre-fetching data for input controls are disclosed. In particular, the disclosed systems and methods predict whether an input control is likely to be edited and only pre-fetches data for the input controls that have a high likelihood of being edited. This way, the presently disclosed systems and methods not only reduce latency in displaying recommended data results for input controls that are likely to be edited but also reduces the number of calls made to the backend server to retrieve the data as the data is not retrieved for all rendered input controls, but only the ones that are likely to be edited.

Abstract: In an embodiment, a computer-implemented data processing method comprises, in a collaborative electronic information management system that is hosted using a collaboration computer, establishing operation of a plurality of event listener units, wherein each of the event listener units is configured to communicate with or listen for a plurality of application events that have been generated by a particular corresponding external application; determining that one or more of the application events relate to a particular content item from among a plurality of content items that are managed in the system; generating and causing displaying, as a part of a graphical user interface of the system for a user account associated with a user computer, a set of notifications comprising one or more first notifications generated from the system and one or more second notifications that are based upon the application events, in association with data identifying the particular content item.

Abstract: A method for use in an issue creation process in an issue tracking system includes receiving an issue description comprising keywords, querying a database of historic issue data representing historic issues maintained by the issue tracking system, the historic issues defined by at least a request type and request data. Querying comprises searching the database of historic issue data using the keywords, locating one or more historic issues that include the keywords in its request data, extracting the request type of each of the located historic issues, selecting request types based on a popularity of each request type amongst the located historic issues, generating a list of possible request types for allocation to the issue description, and allocating a particular request type to an issue corresponding to the issue description in response to receiving input that selects the particular request type from among the list of possible request types.

Abstract: In an embodiment, a computer-implemented data processing method comprises, in a collaborative electronic information management system that is hosted using a collaboration computer, establishing operation of a plurality of event listener units, wherein each of the event listener units is configured to communicate with or listen for a plurality of application events that have been generated by a plurality of external applications; automatically correlating two or more of the plurality of application events to a particular content item from among a plurality of content items that are managed in the system based on an identifier specified in the application events or a substantive content value; and generating and causing displaying, in a graphical user interface, a set of notifications comprising a first notification generated from the system and a second notification that is based upon the application events from the external applications.

Abstract: A method for use in an issue creation process, before an issue is submitted, in an issue tracking system (ITS), comprises receiving an unstructured user input expressing an issue description and comprising one or more query keywords; querying a database of historic issue data to determine historic issues from the historic issue data that are relevant to the one or more query keywords and, in response to the determination, extracting request types from the historic issues; generating, from the extracted request types, a list of possible request types for allocation to the unstructured user input; receiving a user input of a particular request type selected from the list of possible request types and, in response, allocating the particular request type to the issue. The issue is submitted to the ITS for routing the issue to an appropriate service desk according to the particular request type.