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Information recommendation method and device, server and storage medium

An information recommendation and server technology, applied in the Internet field, can solve problems such as inaccurate information and achieve the effect of accurate information

Pending Publication Date: 2022-05-31
BEIJING DAJIA INTERNET INFORMATION TECH CO LTD
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  • Abstract
  • Description
  • Claims
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AI Technical Summary

Problems solved by technology

[0005] The present disclosure provides an information recommendation method, device and system to at least solve the problem of inaccurate recommended information in related technologies

Method used

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  • Information recommendation method and device, server and storage medium
  • Information recommendation method and device, server and storage medium
  • Information recommendation method and device, server and storage medium

Examples

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Embodiment Construction

[0068] In order to enable ordinary persons in the art to better understand the technical solutions of the present disclosure, the technical solutions in the embodiments of the present disclosure will be clearly and completely described below in conjunction with the accompanying drawings.

[0069] It should be noted that the terms "first" and "second" in the specification and claims of the present disclosure and the above drawings are used to distinguish similar objects, but not necessarily used to describe a specific sequence or sequence. It is to be understood that the data so used are interchangeable under appropriate circumstances such that the embodiments of the disclosure described herein can be practiced in sequences other than those illustrated or described herein. The implementations described in the following exemplary examples do not represent all implementations consistent with the present disclosure. Rather, they are merely examples of apparatuses and methods consi...

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Abstract

The invention relates to an information recommendation method and device, a server and a storage medium, and belongs to the technical field of Internet. Comprising the steps of determining a target account set; a target second account of which at least one dimension is the same as the attribute information dimension of the to-be-recommended account in the attribute information is selected; determining the information preference type of the target second account as a target information preference type of the to-be-recommended account; obtaining a target first account of which the type of the published information is matched with the target information preference type from the target account set; and recommending information published by the target first account to the to-be-recommended account. As the registration time of the to-be-recommended account and the registration time of the second account are similar, the information preference type of the second account is more similar to the information preference type of the to-be-recommended account, and the information published by the first account can trigger the to-be-recommended account to publish the information. Therefore, the information which is published by the target first account and has the same type as the information preference type of the to-be-recommended account is recommended to the to-be-recommended account, and the recommended information is more accurate.

Description

technical field [0001] The present disclosure relates to the technical field of the Internet, and in particular to an information recommendation method, device, server and storage medium. Background technique [0002] Usually, when a user uses an application, the application platform will recommend some information to the user based on the user's preference. Since the amount of information about new users in the application platform is very small, how to recommend information to new users becomes crucial at this time. [0003] In a related technology, a plurality of popular information is randomly obtained from a popular resource pool, and then the obtained plurality of popular information is recommended to new users. [0004] However, the information recommended by related technologies to new users is randomly selected, and new users may not be interested in the recommended information. It can be seen that the information recommended by related technologies is not accurate...

Claims

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Application Information

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IPC IPC(8): G06F16/9536G06F16/951
CPCG06F16/9536G06F16/951
Inventor 陈品殿
Owner BEIJING DAJIA INTERNET INFORMATION TECH CO LTD
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