Commodity label labeling method and device, equipment, medium and product

Abstract

The invention discloses a commodity label labeling method and device, equipment, a medium and a product. The method comprises the following steps: acquiring an image feature vector of a commodity picture of a commodity object; the image feature vector and a preset template text vector are spliced to form image-text coding information, the template text vector comprises a first mark and a second mark, the first mark is used for indicating redundant semantic information generated by a mark model which is trained to be converged in the pre-training process, and the second mark is used for indicating redundant semantic information generated by the mark model which is trained to be converged in the pre-training process; the second mark is used for indicating the sequence position information of the commodity label produced by the labeling model; performing task word prediction according to the image-text coding information by adopting the labeling model to obtain a commodity label corresponding to the second label; and labeling the commodity object with the commodity label. The commodity label is output according to the semantic information of the commodity picture by means of the labeling model, and the labeling efficiency of the commodity label is improved.

Description

technical field [0001] The present application relates to the field of e-commerce information technology, and in particular to a product labeling method and corresponding devices, computer equipment, computer-readable storage media, and computer program products. Background technique [0002] In the application scenario of the e-commerce platform, the marking of product objects based on product information occurs frequently. For example, it is necessary to identify the various classification attributes of the product objects launched by the merchant instance according to the product information corresponding to the product objects, and then use the corresponding product tags to mark the product objects to provide product search, recommendation, and sorting. convenient. [0003] In the prior art, there are many technical solutions related to the neural network model suitable for marking products. Such technical solutions are either based on the image semantic information of ...

AI Technical Summary

Problems solved by technology

[0003] In the prior art, there are many technical solutions related to the neural network model suitable for marking products. Such technical solutions are either based on the image semantic information of the product, or based on the text semantic information of the product, or a combination of the two. Realize the mapping of related commodity labels corresponding to commodities. The effects of various models vary depending on their technical implementation and the amount of training data sets, but they generally rely on the complete semantic information of images or texts. Therefore, each Models are limited in what they can achieve

Images