Research Article
Neural Matrix Factorization Recommendation for User Preference Prediction Based on Explicit and Implicit Feedback
| Symbol | Description |
| | Set of users | | Set of items | | User-item rating matrix | | Explicit feedback feature vector of user u | | Explicit feedback feature vector of item i | | User-item implicit interaction matrix | | Implicit feedback feature vector of user u | | Implicit feedback feature vector of item i | | User’s latent factor vector matrix | | Item’s latent factor vector matrix | | Activation function of the X-th layer in the neural network | | Weight matrix of the X-th layer in the neural network | | Deviation value of the X-th layer in the neural network | | Activation function of the prediction layer | | Preference prediction for the interaction between user u and item i | | Set of parameters related to the neural network | | Controlling the weight of explicit and implicit feedback in the loss calculation |
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