Hot field prediction model generation method and device, storage medium and equipment

Abstract

The invention discloses a hot field prediction model generation method and device, a storage medium and equipment. The method comprises the steps of obtaining training feature data of a sample key field in a first historical time period; obtaining text sending click data of the sample key field in a second historical time period, and determining a first training prediction result of the sample key field based on the text sending click data; and initializing a prediction model, and training the prediction model by taking the training feature data as model input data and the first training prediction result as model output data to obtain a trained hot field prediction model. By adopting the invention, the hot field prediction model can be generated based on the characteristics of the sample key field in the historical time period and the text sending click data in the historical time period, so that the hot field can be determined, the generation efficiency of the hotspot text sending content is improved, and the expansion of a content platform is ensured.

Description

technical field [0001] The present application relates to the field of computer technology, and in particular to a method, device, storage medium and equipment for generating a thermal field prediction model. Background technique [0002] With the continuous development and improvement of computer technology, terminals such as mobile phones and computers have become indispensable equipment in people's daily life. Through the content application loaded in the terminal, the content of the post generated by the author can be pushed to the user based on the content platform. Browsing, because different authors have different interests and hobbies, so the types of topics in the published content are relatively rich, which meets the browsing needs of most users. However, the generation of existing published content often depends on the author's creative inspiration or understanding of content platform users, and the hot spots in different fields need to be controlled by the author...

AI Technical Summary

Problems solved by technology

However, the generation of existing published content often depends on the author's creative inspiration or understanding of content platform users, and the hot spots in different fields need to be controlled by the author himself, so it is easy to lead to the lack of composition of hot spots in the published content. This results in less user browsing feedback, which not only fails to guarantee the quality of the published content, but also takes a lot of time for the author, which affects the production efficiency of popular published content, which in turn affects the expansion of the content platform

Images