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Information recommendation method and device based on deep learning, equipment and storage medium

A deep learning and information recommendation technology, applied in the field of artificial intelligence, can solve problems such as the inability to improve the credibility of data service push, and achieve the effect of improving preference and accuracy.

Active Publication Date: 2020-02-21
CHINA PING AN LIFE INSURANCE CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The purpose of the embodiments of the present application is to propose a deep learning-based information recommendation method, device, device, and storage medium, aiming to solve the problem that existing content recommendation methods cannot improve the credibility of data service push and improve user preference

Method used

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  • Information recommendation method and device based on deep learning, equipment and storage medium
  • Information recommendation method and device based on deep learning, equipment and storage medium
  • Information recommendation method and device based on deep learning, equipment and storage medium

Examples

Experimental program
Comparison scheme
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Embodiment 1

[0038] figure 1 It shows the implementation flowchart of the deep learning-based information recommendation method provided by Embodiment 1 of the present invention. For the convenience of description, only the parts related to the present invention are shown.

[0039] In step S101, a recommendation request sent by a user is received, and the recommendation request carries at least user identification information and target content information.

[0040] In the embodiment of the present invention, the user can send the recommendation request through a terminal, which can be such as a mobile phone, a smart phone, a notebook computer, a digital broadcast receiver, a PDA (personal digital assistant), a PAD (tablet computer), a PMP Mobile terminals such as (portable multimedia players), navigation devices, etc., and fixed terminals such as digital TVs, desktop computers, etc., it should be understood that the examples of terminals here are only for convenience of understanding, and...

Embodiment 2

[0103] further reference Figure 6 , as for the above figure 1 The realization of the method shown, the application provides a deep learning-based information recommendation device, the device embodiment and figure 1 Corresponding to the illustrated method embodiments, the apparatus can be specifically applied to various electronic devices.

[0104] like Figure 6 As shown, the deep learning-based information recommendation device 100 provided by Embodiment 2 of the present invention includes: a request receiving module 101 , a request response module 102 , a recommendation probability acquisition module 103 , a recommendation information determination module 104 and a recommendation information output module 105 . in:

[0105] The request receiving module 101 is configured to receive a recommendation request sent by a user, and the recommendation request at least carries user identification information and target content information.

[0106] The request response module 1...

Embodiment 3

[0141] In order to solve the above technical problems, the embodiment of the present application further provides computer equipment. For details, please refer to Figure 7 , Figure 7 It is a basic structural block diagram of the computer equipment of this embodiment.

[0142] The computer device 7 includes a memory 71 , a processor 72 and a network interface 73 connected to each other through a system bus. It should be noted that only the computer device 7 with components 71-73 is shown in the figure, but it should be understood that it is not required to implement all the components shown, and more or fewer components may be implemented instead. Among them, those skilled in the art can understand that the computer device here is a device that can automatically perform numerical calculation and / or information processing according to preset or stored instructions, and its hardware includes but is not limited to microprocessors, dedicated Integrated circuit (ApplicationSpec...

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Abstract

The embodiment of the invention belongs to the technical field of artificial intelligence, and relates to an information recommendation method based on deep learning. The method comprises the steps ofreceiving a recommendation request sent by a user; in response to the recommendation request, obtaining recommendation content information corresponding to the user identification information from acontent cache library, and obtaining historical behavior information corresponding to the user identification information from a behavior database; importing the historical behavior information and the target content information into a joint recommendation model to perform recommendation training operation, and obtaining a recommendation probability corresponding to the recommendation content information; taking the recommendation content information corresponding to the recommendation probability meeting the recommendation rule as target recommendation information; and outputting the target recommendation information to the user. The invention further provides an information recommendation device based on deep learning, a computer device and a storage medium. According to the method, thecontent recommendation accuracy is effectively improved, and the preference of the user is improved.

Description

technical field [0001] This application relates to the technical field of artificial intelligence, and in particular to an information recommendation method, device, device and storage medium based on deep learning. Background technique [0002] With the development of Internet technology, the Internet can provide users with more and more network services, for example: users can browse videos, listen to music, read, shop and so on through the Internet. On the Internet platform, users can search for the information they need through the search function. At the same time, in order to facilitate users to obtain information, the Internet platform can also actively recommend information to users. [0003] There is an existing content recommendation method, which obtains the user's current behavior interest by classifying the user's current behavior characteristics based on the decision tree algorithm; performs text analysis on the webpage of the user's current interest category ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F16/9535G06N3/08
CPCG06F16/9535G06N3/08
Inventor 陈辉
Owner CHINA PING AN LIFE INSURANCE CO LTD
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