Cloud exhibition content recommendation method, system and equipment based on generative confrontation network
A content recommendation and network technology, applied in biological neural network models, neural learning methods, instruments, etc., can solve the problems of sparse samples and features, modeling, and insufficient display of materials, achieve accurate classification results, and solve data sparseness , to facilitate the calculation of the updated effect
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[0090] Such as Figure 6 As shown, the present invention uses a discriminator to judge the authenticity of the simulated user behavior. The specific implementation is as follows:
[0091] S2-23. Compare the score sequence of user browsing behavior data output by the score calculation model with the behavior sequence output by the deep learning model LSTM, wherein the score sequence of user browsing behavior data at this time is converted into the input form of the discriminator User browsing behavior sequence;
[0092] It should be noted that, in order to effectively solve the data sparsity problem of training samples in the prior art, before re-dividing the training samples in the score calculation model according to the comparison results, it also includes
[0093] First, the LSTM hidden layer vector contained in the LSTM output behavior sequence of the deep learning model is connected to the Softmax classifier to obtain the classification results of user browsing behavior ...
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