User recommendation model training method and device, computer equipment and storage medium

The invention relates to a user recommendation model training method and device, computer equipment and a storage medium. The method comprises the following steps: acquiring a plurality of user pairsfrom a database as training samples; Determining a sample target value of each training sample and a target level of the sample target value according to the interaction type of the user pair; Extracting sample characteristics of the training samples to obtain corresponding sample characteristics; Inputting the sample characteristics into a recommendation model, wherein the recommendation model determines the sequence of each training sample through the sample characteristics; When the matching rate of the sequence of each training sample and the target level reaches the preset accuracy, the trained recommendation model is obtained, and through the recommendation model trained in this way, the passive party with the high matching degree can serve as the recommendation user of the active party, so that the recommen