Ideological and Political Education Recommendation System Based on AHP and Improved Collaborative Filtering Algorithm

Algorithm 1

The pseudocode of proposed algorithm training process.

	Input:
The number of students N, the courses that students have graded W, the learning rate , and the discount factor γ
Output:
S1: Initialize for any s ∈ S, c ∈ C
S2: Training SVD++ model, calculate from equation (3)
S3: Get the initial state S and action A from the data.
S4: For each episode x = 1: T do
For z = 1: Wx do
S5: Calculate the reward and punishment functions according to equation (8).
S6: Apply the calculated punishment and reward functions to equation (10)
S7: Update the V table.
end for
end for