4. The system of claim 1 , wherein the training component is configured to train the model using training data that comprises a set of tagged images of the one or more persons to learn facial features of the one or more persons.
1. A system, comprising a hardware processor and a memory device, the memory device configured to store computer-executable instructions that when executed by the hardware processor cause the hardware processor to implement one or more computer-executable components, comprising: an access component configured to access information related to at least one of an event or people participating in the event, the people and event captured in a video, the information accessed as part of presenting the video, the access component further configured to access the information according to a predetermined time window, the time window determined based on at least one of kind of the event or duration of the event; a collection component configured to collect training data from the information for identification of at least one or more persons in the video; a training component configured to train a model using the training data, the training data collected and model trained as part of presenting the video; a recognition component configured to perform facial recognition processing of the people in the video to identify the one or more persons, the facial recognition processing performed using the model; and a content component configured to obtain content relevant to the one or more persons identified, the content for presentation with the video and while the video is being viewed.