The invention provides an on-demand content recommendation method and device, a storage medium and
electronic equipment, and is applied to the technical field of
artificial intelligence. According to the method, the live broadcast
stream of the user in the current live broadcast channel is
cut into the
time sequence video slices in real time, and the slices are input into the pre-trained live broadcast identification model to obtain the current live broadcast content and state. And on the basis of the identification result, the on-demand program matched with the current live broadcast content can be positioned by using the constructed on-demand
knowledge graph. And then, inputting the
current channel identifier and the matched on-demand program identifier into an on-demand
recommendation model so as to output on-demand content and an optimal user recommendation opportunity. And when the current live broadcast state is matched with the recommendation opportunity, pushing the on-demand content. According to the method and the device, the on-demand content can be accurately recommended at the key moment of the live broadcast by accurately identifying the live broadcast content and the state, dynamically matching the on-demand program, generating the on-demand content through the
recommendation model and predicting the optimal pushing time, so that the conversion rate of the on-demand program is effectively improved.