A twin network model training method, a twin network model measuring method, a twin network model training device, a twin network model measuring device, a medium and equipment

Abstract

The invention relates to a twin network model training method, a twin network model measuring method, a twin network model training device, a twin network model measuring device, a medium and equipment. The method comprises the steps of pre-training a label classification model; then constructing a twin network model by using the trained label classification model in a mode of increasing coding neural network branches; therefore, a twin network model used for data similarity measurement in a recommendation system can be obtained through training based on a multi-task learning mode including label classification learning and measurement learning. Through a mode of staged training and multi-task learning constraint, the stability and generalization ability of the model can be effectively improved, and the accuracy of the trained twin network model for data similarity measurement in the recommendation system is improved. Furthermore, data similarity measurement can be carried out based on the trained twin network model, and the accuracy of data similarity measurement is effectively improved. And the trained twin network model is used for song similarity measurement, so that the accuracy of song similarity measurement can be effectively improved.

Description

technical field [0001] The present disclosure relates to the technical field of the Internet, and in particular to a Siamese network model training and measurement method, device, medium and equipment. Background technique [0002] This section is intended to provide a background or context for implementations of the disclosure that are recited in the claims. The descriptions herein are not admitted to be prior art by inclusion in this section. [0003] Data similarity metrics in recommender systems have a wide range of applications and thus have received great attention. The data for similarity measurement can be of any type, for example, it can be audio (such as music), or video, or text (such as news) and so on. But the accuracy of the current data similarity measure is still difficult to be guaranteed. [0004] Taking song similarity measurement as an example, song similarity measurement can significantly promote music distribution, song recommendation, song associati...

AI Technical Summary

Problems solved by technology

[0009] The embodiment of the present disclosure provides a twin network model training, measurement method, device, medium and equipment for solving the problem of low accuracy of data similarity measurement

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