Picture analysis model training method, advertisement picture selection method and electronic equipment

Abstract

The embodiment of the invention discloses a picture analysis model training method, an advertisement picture selection method and electronic equipment. The picture analysis model training method comprises the following steps: inputting at least one group of sample vectors into a picture analysis model to obtain a first probability corresponding to each group of sample vectors; each group of sample vectors is generated based on a first advertisement and a second advertisement with the same advertising language on the same advertisement position, and comprises the advertising language, a first picture used by the first advertisement, a first text used by the first picture, a second picture used by the second advertisement and a second text used by the second picture; the first probability represents the probability that the first picture is superior to the second picture in the corresponding sample vector; the click rate of the first advertisement is higher than that of the second advertisement; calculating a loss value corresponding to each group of sample vectors in the at least one group of sample vectors based on the first probability corresponding to each group of sample vectors in the at least one group of sample vectors; and updating a weight parameter of the picture analysis model according to the calculated loss value.

Description

technical field [0001] The present application relates to the technical field of image processing, in particular to a method for training an image analysis model, an advertisement image selection method, and electronic equipment. Background technique [0002] Internet advertisements are mostly composed of text and pictures. In the related technology, the visual sensory effect of the picture is evaluated by the resolution, texture, white space, edge gradient and other characteristics of the picture, so that the picture with the best visual sensory effect is used for advertising. However, the content of the advertising picture may appear does not match the corresponding text, resulting in a lower click-through rate for the ad. Contents of the invention [0003] In view of this, the embodiment of the present application provides a picture analysis model training method, an advertisement picture selection method, and an electronic device, so as to solve the problems in the re...

AI Technical Summary

Problems solved by technology

[0003] In view of this, the embodiment of the present application provides a picture analysis model training method, an advertisement picture selection method, and an electronic device, so as to solve the problem in the related art that the click-through rate of the advertisement is low due to the mismatch between the content of the selected advertisement picture and the corresponding text. low technical issues

Images