Work order allocation method and device based on deep collaborative filtering, and related equipment

The invention discloses a work order allocation method and device based on deep collaborative filtering and related equipment. The method comprises the following steps: acquiring historical data of time required by a worker to complete a work order, and preprocessing the historical data to obtain sample data; inputting the sample data into a preset deep collaborative filtering model for time prediction training to obtain a target collaborative filtering model; inputting a to-be-allocated work order into the target collaborative filtering model to predict the completion time of each worker for completing the to-be-allocated work order to obtain a prediction time matrix; dividing the work orders to be distributed in batches according to the areas to obtain a plurality of small-batch work orders; and performing minimum cost calculation on the prediction time matrix corresponding to each small-batch work order through a Hungary algorithm to obtain an optimal distribution matrix of each small-batch work order, and