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Model training method and device and storage medium

A model training and model technology, applied in the field of artificial intelligence, can solve problems affecting user viscosity

Pending Publication Date: 2022-04-15
ALIBABA (CHINA) CO LTD
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] For the above two-stage recommendation system, the accuracy of the prediction model output prediction results will affect the user viscosity

Method used

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  • Model training method and device and storage medium
  • Model training method and device and storage medium
  • Model training method and device and storage medium

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Embodiment Construction

[0029] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments It is a part of embodiments of the present invention, but not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of the present invention.

[0030] Terms used in the embodiments of the present invention are only for the purpose of describing specific embodiments, and are not intended to limit the present invention. The singular forms "a", "said" and "the" used in the embodiments of the present invention and the appended claims are also intended to include plural forms, unless the conte...

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Abstract

The embodiment of the invention provides a model training method and device and a storage medium, and the method comprises the steps: a terminal device determines first user data generated by a target user on the terminal device, and also can send a data obtaining request to obtain second user data generated by other users and sent by a server, the similarity between the first user data and the second user data meets a preset condition. And then, taking the first user data and the second user data as training samples, and training a user behavior prediction model for the target user. According to the method, through cooperative work of the server and the terminal equipment, the terminal equipment can obtain the first user data and the second user data which are different in source and have high similarity, training samples are enriched, and the accuracy of the model is guaranteed. And the behavior pattern reflected by the second user data and the first user data is similar to the behavior pattern of the target user, so that the prediction result output by the trained prediction model is also close to the behavior pattern of the target user.

Description

technical field [0001] The present invention relates to the technical field of artificial intelligence, in particular to a model training method, device and storage medium. Background technique [0002] With the development of the Internet, personalized recommendations for users based on user attribute information and user behavior patterns have been applied in various scenarios such as e-commerce platforms and information platforms. High-quality recommendation services can often better match user needs and improve user experience. [0003] In the prior art, personalized recommendation can usually be realized by means of a two-stage recommendation system. Taking the e-commerce platform as an example, in the first stage, related algorithms can be used to obtain a variety of representative products that are ready to be recommended to users from all products; in the second stage, user behavior prediction models can be used to predict the user’s behavior of purchasing various r...

Claims

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Application Information

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IPC IPC(8): G06F16/9535G06Q30/06
Inventor 吴帆吕承飞顾仁杰牛超越严谊凯丁雨成贾荣飞陈贵海
Owner ALIBABA (CHINA) CO LTD
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