| CPC G06F 40/40 (2020.01) | 25 Claims |

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1. A computer-implemented method comprising:
generating, using a first trained residual neural network, an event analysis from a set of event description encodings, an event description encoding in the set of event description encodings comprising a numerical representation of a natural language description of an event, the event analysis comprising a first set of coordinates in an event space;
generating, using a second trained residual neural network, the event analysis and a user description encoding, a personalization analysis, the user description encoding comprising a numerical representation of a user interaction with the event, the personalization analysis comprising a component of a second set of coordinates in the event space; and
activating, upon a determination that a product of the event analysis and the personalization analysis corresponds to a first virtual component, a first event component using a first user device, the first event component comprising the first virtual component of the event.
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