General Collaborative Filtering for Web Service QoS Prediction

Algorithm 2

TrainModel(,,,,,,).

Input:—Training set

—number of users

—number of services

—dimension of latent vectors

—learning rate

—batch size

—loss function

Output:  —Model

1: =BuildModel()

2: opt=Adam(lr=, beta_1=0.5)

3: .complie(optimizer=opt, loss=)

4: for  i = 1 to epochs  do

5: ==Sample(T,t)

6: ,,=Split()

7: .train_on_batch(input=[,],label=)

8: end

9: return return