Target object identification method and device, computer equipment and storage medium

Abstract

The invention discloses a target object identification method and device, computer equipment and a storage medium, which are applied to the technical field of Internet, and the method comprises the following steps: obtaining a target object for a target service; performing characterization processing on the target object to obtain target object features; based on the target object features, performing feature processing and then determining a first interestingness feature and a second interestingness feature; performing noise addition processing on the first interestingness feature to obtain a first noise addition feature; based on the second interestingness feature and the first noise adding feature, obtaining an interest point classification result corresponding to the target object through a target classification model; and determining an interestingness label of the target object according to the interest point classification result corresponding to the target object. By means of the method, the accuracy of the interest point classification result output by the model is guaranteed on the premise that important features are reserved, so that the accuracy of target object recognition is improved, and protection on any attribute information can be improved by scrambling the features of the target object.

Description

technical field [0001] The present application relates to the field of Internet technologies, and in particular, to a target object identification method, apparatus, computer equipment and storage medium. Background technique [0002] With the development of Internet technology, more and more needs can be served through the Internet. Taking Internet online education and training as an example, people have more service demands in educational scenarios, so there may be users who have higher interest in Internet online education advertisements, and the specific manifestations of higher interest are not limited to high advertisements. Click-through rate, high education product payment rate, and how to identify high-interest objects are becoming more and more important. At present, the industry mainly uses the method of constructing multi-dimensional features and model training to predict the probability that the current object is an object of high interest or an object of ordin...

AI Technical Summary

Problems solved by technology

However, machine learning models can often highly fit the sample data, so that model parameters and detailed prediction results can retain more original data features, resulting in the leakage of original da

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