Collaborative filtering method based on user project classes and scoring reliability

The invention discloses a collaborative filtering method based on user project classes and scoring reliability, and the method comprises the steps: building a user scoring matrix and a user project class feature matrix through user scoring data and project information, and adding a common scoring penalty factor according to the user scoring matrix to calculate the similarity of user scores; according to the user project feature class matrix, calculating the similarity of user project preference is calculated by accessing the number of times of project feature classes and enabling the project feature class score to be larger than the average value number, on the basis, calculating the total similarity of users and then predicting on the basis of neighbor scoring reliability, unscored projects to generate recommended projects by establishing a nearest neighbor set. According to the method, the real interest preference of the user can be obtained more accurately, personalized recommendation is conducted on the d