Online prediction method and device, equipment and storage medium
A prediction method and a technology of predetermined parameters, which are applied in the direction of instruments, electrical digital data processing, computer components, etc., can solve problems such as unsuitable recommended content, poor user experience, and complex prediction models, so as to improve prediction accuracy and improve Model training efficiency, the effect of reducing accuracy mismatch
Pending Publication Date: 2022-03-11
BEIJING SHAREIT INFORMATION TECH CO LTD
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Problems solved by technology
[0003] In related technologies, the prediction model will be complex and inefficient, resulting in recommended content that does not meet the requirements and will bring bad experience to users
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[0047] Reference will now be made in detail to the exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, the same numerals in different drawings refer to the same or similar elements unless otherwise indicated. The implementations described in the following exemplary examples do not represent all implementations consistent with the present invention. Rather, they are merely examples of apparatuses and methods consistent with aspects of the invention as recited in the appended claims.
[0048] In order to facilitate the understanding of those skilled in the art, the embodiments of the present disclosure list a plurality of implementation manners to clearly illustrate the technical solutions of the embodiments of the present disclosure. Of course, those skilled in the art can understand that the multiple embodiments provided by the embodiments of the present disclosure can be ex...
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The embodiment of the invention discloses an online prediction method and device, equipment and a storage medium, and the method comprises the steps: carrying out the combined training of a tutor model and a student model through a preset feature set based on the same target training parameter, and obtaining a trained student model; wherein the tutor model is used for rough data arrangement; the student model is used for fine data arrangement; predetermined parameter information obtained based on the tutor model is applied to the student model in a distillation migration mode; and on the basis of the trained student model, performing online prediction of a predetermined task. Compared with individual training of a tutor model for rough arrangement and individual training of a student model for fine arrangement based on different target training parameters, the technical scheme of the embodiment of the invention can reduce the situation that the precision of rough arrangement and the precision of fine arrangement are not matched, integrally improve the prediction precision of the model, simplify the model structure, improve the model training efficiency, and improve the prediction accuracy of the model. And good experience is brought to the user.
Description
technical field [0001] The present disclosure relates to the field of online prediction but is not limited to the field of online prediction, and in particular relates to an online prediction method, device, equipment and storage medium. Background technique [0002] With the rapid development of information technology, the amount of data is also increasing day by day. In order to solve the problem of information overload (Information overload), recommendation system came into being. The recommendation system is based on the interaction between the user and the content, and selects the content that the user currently prefers from the rich content pool through recall, rough sorting, and fine sorting. With the introduction of deep learning, the recommendation effect is more personalized, and the complexity of the model will also be highlighted. [0003] In related technologies, the prediction model may be complex and inefficient, resulting in recommended content that does no...
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IPC IPC(8): G06F16/9535G06K9/62G06Q50/20
CPCG06F16/9535G06Q50/20G06F18/214
Inventor 刘文哲金长虎
Owner BEIJING SHAREIT INFORMATION TECH CO LTD