Research Article
A Recommendation Model for College Career Entrepreneurship Projects Based on Deep Learning
Algorithm 1
Optimization algorithm based on the deep neural network and matrix decomposition.
Input: : user rating matrix | : item attribute feature data | Output: | : user implicit feature vector | : implicit feature vector of items | Initialization: | Regularization parameter: | Maximum number of iterations: max_iter | Dimension of implicit features: latent_dim | Proof of implicit characteristics of randomly generated users and projects: | Parameter set of the deep neural network: | Calculate the loss value according to the formula: | For from 1 to max_iter do: | For each in trainset | Update | Update | End for | Training DNN (deep neural network) | Calculate the loss value according to the formula | If | Termination of iteration | End for |
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