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I'm trying to learn this project and have a basic question. As said in the project description, the inference is y_pred[u, i] = global__bias + bias_user[u] + bias_item_[i] + <embedding_user[u], embedding_item[i]>. Why is it SVD? SVD is the factorization of matrix, I don't see the identical between SVD and the algorithm used in this project. Appreciate if you can explain.
Thanks
Yang
The text was updated successfully, but these errors were encountered:
Hi,
I'm trying to learn this project and have a basic question. As said in the project description, the inference is y_pred[u, i] = global__bias + bias_user[u] + bias_item_[i] + <embedding_user[u], embedding_item[i]>. Why is it SVD? SVD is the factorization of matrix, I don't see the identical between SVD and the algorithm used in this project. Appreciate if you can explain.
Thanks
Yang
The text was updated successfully, but these errors were encountered: