E-commerce recommendation method based on user expression analysis
A technology of e-commerce and recommendation methods, applied in the computer field, can solve the problems that the recommendation system cannot understand the accuracy of the recommendation results, cannot know whether the user's recommendation results are satisfactory, and the user experience is not satisfactory, etc.
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[0021] Below in conjunction with accompanying drawing and specific embodiment the present invention is described in further detail:
[0022] figure 1 Shows the e-commerce recommendation steps based on user expression analysis, mainly including:
[0023] Step S100, the user logs in the e-commerce website through the e-commerce website client program on the handheld mobile device.
[0024] Step S101, the client program opens the camera of the user's mobile device.
[0025] Step S102, the client program recommends products to the user and records the user's avatar at the same time.
[0026] In step S103, the client program uses an image processing algorithm to analyze the user's expression, calculates the user's satisfaction, and feeds the satisfaction back to the recommendation system of the e-commerce website. The expression formula to describe the user's satisfaction with the recommended product is:
[0027] I=F+λ×E
[0028] Among them, F represents the facial expression ...
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