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Method, device and equipment for predicting work ranking based on neural network

A neural network and work technology, applied in the field of artificial intelligence, can solve the problem of whether the user's work can enter various ranking predictions and other issues

Pending Publication Date: 2021-05-11
HUAWEI TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

At present, there is no plan to predict whether the works published by users can enter various rankings, which has become a pain point for users to use social software

Method used

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  • Method, device and equipment for predicting work ranking based on neural network
  • Method, device and equipment for predicting work ranking based on neural network
  • Method, device and equipment for predicting work ranking based on neural network

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Embodiment Construction

[0074] In the description of the embodiments of this application, unless otherwise specified, " / " means or, for example, A / B can mean A or B; "and / or" in this article is only a description of the association of associated objects A relationship means that there may be three kinds of relationships, for example, A and / or B means: A exists alone, A and B exist simultaneously, and B exists alone.

[0075] The terms "first" and "second" are used for descriptive purposes only, and cannot be understood as indicating or implying relative importance or implicitly specifying the quantity of indicated technical features. Thus, a feature defined as "first" and "second" may explicitly or implicitly include one or more of these features.

[0076] Unless stated otherwise, "plurality" means two or more. In the embodiments of the present application, words such as "exemplary" or "for example" are used as examples, illustrations or illustrations. Any embodiment or design scheme described as "...

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PUM

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Abstract

The invention discloses a method, a device and equipment for predicting the ranking of works based on a neural network, relates to intelligent prediction and recommendation in the field of artificial intelligence, and can predict the ranking of works published by a user in various ranking lists so as to help the user to better maintain own works, thus increasing user stickiness. The method specifically comprises the following steps: constructing features by systematically scoring works published by a user, ranking statistical values of similar types of works published by the user in a past period of time and ranking statistical values of similar types of works published by other users similar to the user in the past period of time; carrying out model training by using a multi-layer perceptron, a convolutional neural network and the like, and carrying out ranking prediction on works newly published by the user by using the trained model. In addition, according to the ranking prediction result, the system can recommend some value-added services to the user.

Description

technical field [0001] This application relates to the field of artificial intelligence, in particular to a method, device and equipment for predicting the ranking of works based on neural networks. Background technique [0002] With the development of Internet technology, more and more social software is favored by users, for example: karaoke software (such as national karaoke, sing bar, etc.), and short video software (such as Douyin, etc.). Users can publish their own songs, short videos and other works through social software, and can also watch works posted by other users through social software. [0003] Usually users will pay attention to the works in various ranking lists on social software. Therefore, users also hope that their published works can enter various ranking lists, hoping that more users can pay attention to their works. At present, there is no plan to predict whether the works published by users themselves can enter various rankings, which has become a ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F16/9536G06Q50/00G06N3/04
CPCG06F16/9536G06Q50/01G06N3/045
Inventor 王云路于超赵安彭璐朱越
Owner HUAWEI TECH CO LTD