According to the complexity and diversity of AI aesthetic education course resources and other characteristics, this paper designs an intelligent management and recommendation system for AI aesthetic education course resources, which realizes the intelligent management of AI aesthetic education course resources through the knowledge point annotation algorithm based on TextCNN-Transformer, and designs a multi-factor fusion collaborative filtering recommendation algorithm after the resource knowledge point annotation task. . The recommendation algorithm of multi-factor fusion collaborative filtering implements the intelligent recommendation of AI aesthetic education course resources by constructing the AI aesthetic education course resources knowledge graph, user knowledge graph, using the interest similarity calculation to obtain the recommendation score ranking of the AI aesthetic education course resources matched with the user’s interests, and using the recommendation algorithm of multi-factor fusion collaborative filtering to implement the intelligent recommendation of AI aesthetic education course resources. The evaluation index system of the intelligent management and recommendation system of AI aesthetic education course resources is constructed, and the fuzzy evaluation method is combined to obtain the final score of the intelligent management and recommendation system of AI aesthetic education course resources designed in this paper.The performances of the TextCNN-Transformer model in the HM Loss, Sub Acc, Macro F1, and Micro F1 indexes were 0.0125 The RMSE and MAE of the recommendation algorithm of multi-factor fusion collaborative filtering on Filmtrust dataset reached 0.651 and 0.441 respectively.The fuzzy evaluation score of AI aesthetic education curriculum resources intelligent management and recommendation system is 84.646, which is in the interval of [80,90], with a good operational efficiency and a good construction of intelligent management and recommendation system is well constructed.
