AI interactive e-commerce system based on deep learning
A technology of deep learning and e-commerce, applied in machine learning, commerce, sales/lease transactions, etc., can solve problems such as emotionally mechanical replies and low response efficiency, to increase user stickiness, increase auxiliary functions, The effect of improving user experience
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Embodiment 1
[0043] In recent years, artificial intelligence has suddenly become an outlet that the market is chasing first, and it has also become a hot super IP that cannot be hotter anymore. Deep learning is to learn the internal laws and representation levels of sample data. The information obtained during the learning process is of great help to the interpretation of data such as text, images and sounds. Its ultimate goal is to enable machines to have the ability to analyze and learn like humans, and to be able to recognize data such as text, images, and sounds. Deep learning is a complex machine learning algorithm. The effect achieved in speech and image recognition far exceeds previous related technologies when artificial intelligence is applied to the equally popular e-commerce industry;
[0044] However, there is an existing problem of low e-commerce demand response efficiency. Although it is possible to provide basic responses to customers, it has no emotion, and the push content...
Embodiment 2
[0065] This embodiment is an improvement made on the basis of Embodiment 1. For details, please refer to Figure 1-2 , the AI interaction module also includes an intelligent pricing model unit, and the intelligent pricing model unit is used for corresponding connection with the commodity pricing unit;
[0066] After years of development, the domestic e-commerce industry has gradually entered the second half. In terms of pricing, large e-commerce companies urgently need batch pricing and avoid unreasonable pricing caused by experience. Through the corresponding connection between the intelligent pricing model unit and the commodity pricing unit, the data is analyzed and collided, and then intelligent decision-making can be made, which can assist in sorting out product data and establish models for dynamic pricing and clearance pricing.
[0067] The mode of embodiment 2 has artificial intelligence capable of rapidly processing big data, which solves the automatic pricing of a...
Embodiment 3
[0069] This embodiment is an improvement made on the basis of Embodiment 1. Specifically, please refer to Figure 1-2 ,
[0070] The intelligent robot customer service unit includes an application layer for resource management and monitoring, model definition and training, providing an interactive environment, intelligent data labeling, and model export and release;
[0071] The application layer includes a speech recognition unit, a natural language processing unit and a reply processing unit;
[0072] The voice recognition unit is used to perform voice recognition on user information and extract keyword demand information;
[0073] The natural language processing unit is used to identify and analyze user demand text features and attention features;
[0074] The reply processing unit is used for orderly and corresponding reply to the identified information.
[0075] Through the method of transfer learning in the natural language processing unit, let AI learn our real world...
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