Method, system and device for correcting mainstream deviation of recommendation system and storage medium

The invention discloses a method, a system and equipment for correcting mainstream deviation of a recommendation system and a storage medium, and belongs to mainstream deviation correction of the recommendation system in the field of data recommendation. The method aims at solving the technical problems that in the prior art, due to the fact that a recommendation system does not fully consider mainstream deviation, the overall recommendation accuracy is lowered, and recommendation fairness is low. According to the method, the user mainstream score is calculated and weighted, and then the weighted user interaction data is used as the training data of the model training, so that the mainstream degree of the user can be considered when the model is reconstructed, the phenomenon of excessively recommending popular articles cannot occur, and the user experience is improved. Therefore, the influence of mainstream deviation on the recommendation system can be effectively reduced, the effect of the recommendation sys