The invention discloses a method for obtaining user specific metaknowledge interest. The method is specific to a learner in a network learning system, aims at exactly identifying and obtaining learning interest of the network learner, predicts the future interest change of the learner, and improves learning efficiency and performance of the network learner. In the aspect of user model, a user interest model facing the network learner group is adopted. In the interest omission algorithm of dynamic interest perception, an interest omission algorithm featuring automatically discovering and omitting the threshold is adopted. In the interest prediction algorithm, a prediction method featuring user collaborative prediction is adopted. The invention analyzes blogs of the learner to exactly identify the interest change of the user towards metaknowledge, conception and learning resource, reflects interest degree in a quantitative way, predicts the interest change of the learner, improves defects of the existing technologies, and has good application prospect in the network learning system and network individual service.