Research Article
Graph-Based Collaborative Filtering with MLP
| Input: Rating Matrix: R, The dimension of feature: K | | Procedure: | | Decompose matrix with SVD method. , | | For all user do | | Receive the vector of | | Compute the similarity between users with Equation (6) | | end for | | Through the activation function and compute the adjacency matrix A | | Establish graph | | For all user do | | Traverse graph and receive the neighbors w | | Compute the feature vector of with , w | | end for | | Output: The feature vector of user: The vector of item: |
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