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Information recommendation method, device and equipment and computer readable storage medium

An information recommendation and computer program technology, applied in the Internet field, can solve the problems of cumbersome data collection process, low efficiency, and consumption of computing resources, etc., achieve efficient information recommendation services, improve model training efficiency, and ensure information security.

Pending Publication Date: 2020-02-21
ZHEJIANG TONGHUASHUN INTELLIGENT TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, for large-scale user and business data, it is necessary to build a big data platform to achieve parallel computing, which leads to the consumption of a large amount of computing resources and increases the cost of platform construction; moreover, the data recommendation based on the learning model needs to be implemented during the model training process. Collecting a large amount of user information not only makes the user privacy not guaranteed, but also the data collection process is cumbersome and inefficient

Method used

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  • Information recommendation method, device and equipment and computer readable storage medium
  • Information recommendation method, device and equipment and computer readable storage medium
  • Information recommendation method, device and equipment and computer readable storage medium

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Embodiment Construction

[0051] The core of this application is to provide an information recommendation method, which can effectively reduce the development cost of an information recommendation system and provide users with efficient information recommendation services; another core of this application is to provide an information recommendation device, The device and the computer-readable storage medium also have the above beneficial effects.

[0052] In order to make the purposes, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments It is a part of the embodiments of this application, not all of them. Based on the embodiments in this application, all other embodiments obtained by persons of ordinary skill in the art without making ...

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Abstract

The invention discloses an information recommendation method, which comprises the steps of obtaining a to-be-trained model according to a training task when a federation center receives the training task; distributing the to-be-trained model to each terminal device, so that each terminal device trains the to-be-trained model by utilizing a user browsing information data set of the terminal deviceto obtain a training model; receiving the training model uploaded by each terminal device; performing average calculation on each training model to obtain an information recommendation model; issuingthe information recommendation model to each terminal device, so that each terminal device performs information recommendation by using the information recommendation model. According to the information recommendation method, the development cost of the information recommendation system can be effectively reduced, and meanwhile, efficient information recommendation services are provided for users.The invention furthermore discloses an information recommendation device and equipment, and a computer readable storage medium, which all have the above beneficial effects.

Description

technical field [0001] The present application relates to the technical field of the Internet, in particular to an information recommendation method, and also to an information recommendation device, device, and computer-readable storage medium. Background technique [0002] With the rapid development of e-commerce platforms and Internet technology, people have entered the era of information overload, and it has become more and more difficult to find the knowledge they are interested in from a large amount of information. Most of the existing information recommendation systems are based on machine learning and deep learning technology, using learning models to achieve information recommendation. However, for large-scale user and business data, it is necessary to build a big data platform to achieve parallel computing, which leads to the consumption of a large amount of computing resources and increases the cost of platform construction; moreover, the data recommendation base...

Claims

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Application Information

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IPC IPC(8): G06F16/9535
CPCG06F16/9535
Inventor 谌明
Owner ZHEJIANG TONGHUASHUN INTELLIGENT TECH CO LTD
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