An end to end deep learning method Mcformer to utilize the customer clickstream data to predict the user purchase intention

• This is an end to end deep learning method Mcformer to utilize the customer clickstream data to predict the user purchase intention.
• We aim to utilize the customer clickstream data to predict the customer purchase intention, the scenes as follows:
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The framework of Mcformer

• Introduction of Mcformer
• In order to deal with multi-dimension clickstream sequence data, we proposed an end-to-end deep learning model, named Multi-channel for purchase transformer (Mcformer), to predict the customers’ purchasing intention. Figure 1 shows the model architecture of Mcformer. This model composed by four parts: embedding layer, multi-transformer layer, cross fusion layer and output layer. Embedding layer is used to embed the sparse one-hot vectors of the behavior data

   

   

   

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