Real-time goods recommendation method based on customer shopping intention exploration
A technology for product recommendation and user intent, applied in marketing and other directions, can solve the problems of accurate real-time recommendation, sparse data, and inability to provide customers, and achieve the effect of improving shopping satisfaction, accurate recommendation results, and enhancing stickiness
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[0046] The present invention will be described in detail below in conjunction with specific embodiments.
[0047] Step1: Construct a tree-like customer shopping intention model.
[0048] Based on the classification system of e-commerce websites, a tree-shaped user intent model is constructed, and the depth of the intent model is preferably about 4 layers. Each user intent model is a sub-part of the taxonomy of e-commerce sites. Such as figure 2 As shown, each node corresponds to an identifier 0 or 1, and the initial value is 0, which is used to identify the user's shopping intention. When the system acquires the user's intent, it judges whether the current intent has been marked as 1. If it has been marked, the intent model remains unchanged; otherwise, the corresponding intent node and its parent nodes of each layer are marked as 1. Indicates that the user has a corresponding shopping intention.
[0049]Step2: Detect user behavior in real time and identify user intent. ...
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