Machine-Learning Based Similarity Engine

A non-transitory computer-readable medium, having stored thereon program instructions that, upon execution by a computing system, cause the computing system to perform operations comprising:

• receiving first data indicating a classification request that is directed to a graphical user interface (GUI), wherein the classification request is based on a first incident log;
• generating, via a machine learning model, a first vector representation of the first incident log;
• identifying a second incident log of a plurality of incident logs according to a comparison between the first vector representation and respective vector representations of the plurality of incident logs;
• and
• transmitting second data to update the GUI to display a visual representation of the second incident log.

A system comprising:

• persistent storage containing a plurality of incident logs;
• and
• one or more processors configured to:
• receive first data indicating a classification request that is directed to a graphical user interface (GUI), wherein the classification request is based on a first incident log;
• generate, via a machine learning model, a first vector representation of the first incident log;
• identify a second incident log of the plurality of incident logs according to a comparison between the first vector representation and respective vector representations of the plurality of incident logs;
• and
• transmit second data to update the GUI to display a visual representation of the second incident log.