Machine learning automation of network resource workflows

One or more non-transitory computer-readable storage media storing one or more trained machine learning models having been trained to output predictions of actions of web-based applications based on input specifying a plurality of browser events from interactions with the web-based applications and one or more sequences of instructions which, when executed using one or more processors, the one or more processors being are communicatively coupled to one or more network interfaces that are communicatively coupled to one or more internetworks and capable of network communication with a browser extension hosted on an agent computer, a relational database system, and a support ticket system, cause the one or more processors to execute:

• receiving, from the browser extension, one or more browser event objects corresponding to user input signals arising from interactions of the agent computer with the web-based applications, extracting attribute values from the one or more browser event objects, and storing, in the relational database system, the one or more browser event objects and attribute values as a plurality of events of user action time series records;
• clustering the plurality of events and performing action analysis on the plurality of events by executing a first inference stage of the one or more trained machine learning models over the one or more events to output suggestions of associations of user actions corresponding to the one or more events;
• forming one or more training data records based on the associations of user actions corresponding to the one or more events;
• re-training the one or more trained machine learning models based on the associations of user actions to produce one or more re-trained machine learning models.

A workflow automation computer system comprising:

• one or more hardware processors;
• one or more network interfaces that are communicatively coupled to one or more internetworks and capable of network communication with a browser extension hosted on an agent computer, a relational database system, and a support ticket system;
• and
• one or more non-transitory computer-readable storage media coupled to the one or more hardware processors and storing:
• one or more trained machine learning models;
• and
• one or more sequences of instructions which, when executed using one or more processors, cause the one or more processors to execute:
• receiving, from the browser extension, one or more browser event objects, extracting attribute values from the one or more browser event objects, and storing, in the relational database system, the one or more browser event objects and attribute values as one or more events of user action time series records;
• creating and storing in memory multiple trees having a depth=2, each of the trees comprising a plurality of nodes corresponding to browser event objects and a plurality of edges that connect the nodes to one or more child event nodes while recording identifiers of source events for copy-type events;
• for a particular child event node that represents browser event objects corresponding to pasting or form-filling data, identifying an existing tree among the trees having a corresponding source node, and joining a root node of that existing tree to the particular child event node;
• grouping all trees rooted in navigation events identifying a particular hostname under a common root node that specifies a first navigation event;
• for the first navigation event having a second navigation event as a direct child node, deleting the second navigation event;
• deleting from the memory all the trees having the depth=2;
• and
• in response to determining that a final tree has >2 navigation events, creating and storing a relay based on the final tree.

One or more non-transitory computer-readable storage media storing one or more trained machine learning models and one or more sequences of instructions which, when executed using one or more processors, the one or more processors being are communicatively coupled to one or more network interfaces that are communicatively coupled to one or more internetworks and capable of network communication with a browser extension hosted on an agent computer, a relational database system, and a support ticket system, cause the one or more processors to execute:

• receiving, from the browser extension, one or more browser event objects, extracting attribute values from the one or more browser event objects, and storing, in the relational database system, the one or more browser event objects and attribute values as one or more events of user action time series records;
• creating and storing in memory multiple trees having a depth=2, each of the trees comprising a plurality of nodes corresponding to browser event objects and a plurality of edges that connect the nodes to one or more child event nodes while recording identifiers of source events for copy-type events;
• for a particular child event node that represents browser event objects corresponding to pasting or form-filling data, identifying an existing tree among the trees having a corresponding source node, and joining a root node of that existing tree to the particular child event node;
• grouping all trees rooted in navigation events identifying a particular hostname under a common root node that specifies a first navigation event;
• for the first navigation event having a second navigation event as a direct child node, deleting the second navigation event;
• deleting from the memory all the trees having the depth=2;
• and
• in response to determining that a final tree has >2 navigation events, creating and storing a relay based on the final tree.