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Model recommendation method and device

A technology for recommending methods and models, applied in the fields of instruments, electrical digital data processing, computing, etc., can solve problems such as the inability to solve the cold start problem well, and the inability of users to recommend models.

Pending Publication Date: 2021-06-08
CHINA CONSTRUCTION BANK
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Traditional model recommendation methods often need to make recommendations based on the user's historical behavior, which cannot solve the cold start problem well
For example, when a new user has not yet generated behavior in the system, it is impossible to recommend the desired model to the user

Method used

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  • Model recommendation method and device
  • Model recommendation method and device

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Embodiment Construction

[0067] Exemplary embodiments of the present invention are described below in conjunction with the accompanying drawings, which include various details of the embodiments of the present invention to facilitate understanding, and they should be regarded as exemplary only. Accordingly, those of ordinary skill in the art will recognize that various changes and modifications of the embodiments described herein can be made without departing from the scope and spirit of the invention. Also, descriptions of well-known functions and constructions are omitted in the following description for clarity and conciseness.

[0068]In the process of model recommendation, you can directly filter based on keywords. The premise of the keyword screening method is that the user is very clear about the model he needs. Filtering based on keywords is a kind of precise matching, but often users are only clear about the effect and function of the model, what algorithm to use, how to model, and how to op...

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Abstract

The invention discloses a model recommendation method and device, and relates to the technical field of artificial intelligence. A specific embodiment of the method comprises the steps of determining model demand information, wherein the model demand information comprises at least one of a model name, a model classification and model text information; determining a demand text vector corresponding to the model demand information; for each candidate model, determining a model text vector corresponding to the candidate model; determining a similarity value between the demand text vector and the model text vector; and according to the similarity value, determining a recommendation result corresponding to the model demand information. According to the embodiment, model recommendation does not need to be carried out according to historical behaviors of the user, and a good model recommendation effect is achieved.

Description

technical field [0001] The present invention relates to the technical field of artificial intelligence, in particular to a model recommendation method and device. Background technique [0002] Model recommendation is used to quickly find relevant models preferred by users from massive model libraries according to user needs, so that users can quickly reuse and learn from relevant models to shorten the development cycle. Traditional model recommendation methods often need to make recommendations based on the user's historical behavior, which cannot solve the cold start problem well. For example, when a new user has not yet generated behavior in the system, it is impossible to recommend the desired model to the user. Contents of the invention [0003] In view of this, the embodiments of the present invention provide a model recommendation method and device, which do not need to perform model recommendation based on the user's historical behavior, and have a better model rec...

Claims

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Application Information

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IPC IPC(8): G06F40/186G06F40/284
CPCG06F40/186G06F40/284
Inventor 李婉华沈丽忠詹炜华谢立东
Owner CHINA CONSTRUCTION BANK