Implicit feedback recommendation method based on node2vec and deep neural network
A deep neural network, implicit feedback technology, applied in the field of implicit feedback recommendation, to achieve good recommendation effect, high practicability, and ease sparsity effect
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[0033] Example 1:
[0034] An embodiment of the present invention is an implicit feedback recommendation method fusing node2vec and deep neural network. The implementation process is as follows figure 1 Shown.
[0035] Step 1: Obtain user potential vectors and project potential vectors.
[0036] N users u in one-hot format i As the input vector, the sparse representation of the input layer is mapped to a dense vector through a fully connected embedding layer, and the obtained user embedding is regarded as the user potential vector used to describe the user.
[0037] Put M items in one-hot format v j As the input vector, the sparse representation of the input layer is mapped to a dense vector through a fully connected embedding layer, and the obtained item embedding is regarded as the item latent vector used to describe the item.
[0038] For example using Represents user u i Potential vector of users, Indicates item v j Project potential vector. among them Represents the user's pot...
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