A
personalized learning recommendation method based on a personalized
knowledge graph, including
knowledge graph construction, a learner
filling in a learning style self-description and learning goal expectation content; and through an entrance test module, a preliminary investigation and evaluation is conducted on the current learning situation of the learner; an initial learner portrait model is established, the learner enters a
database for learning, and a learning evaluation module conducts a periodic evaluation on the learning situation of the learner; the learner portrait model is updated, a learning path and learning resources suitable for the learner are generated by using a
knowledge graph technology and a
reinforcement learning DQN network; a learning path
database is updated; and a new learning path is recommended to the learner; the
learning data of the student is analyzed to determine the basic situation of the student, the learner portrait model is constructed, the
personalized learning characteristics are adapted to the learning
knowledge element sequence by using the knowledge graph technology and the learning recommendation
algorithm, the
personalized learning path recommendation mode is constructed, and the learning effect is improved.