Resource dissemination method, device, server and computer-readable storage medium

Abstract

The present invention discloses a method for disseminating resources, which includes: selecting a first resource in an active resource pool with a dissemination margin greater than or equal to 1 and which has not been received by the first user account according to a sending instruction for sending resources to a first user account ; Send the first resource to the first user terminal corresponding to the first user account, and update the status parameter of the first resource; wherein, the status parameter includes the propagation capacity, the propagation margin, and the first resource of the first resource in the first group; An acquired list of resources, where the acquired list is used to store all user accounts that have received the first resource; the broadcast margin is based on the broadcast capacity of the first resource and the number of received users of the first resource in the first group generate. The invention also discloses a resource dissemination device, a server and a computer-readable storage medium, which can reduce the probability of users receiving duplicate resources and improve the quality of dissemination resources based on active resource requests.

Description

technical field [0001] The present invention relates to the field of information dissemination, in particular to a resource dissemination method, device, server and computer-readable storage medium. Background technique [0002] At present, most of the popular network information dissemination platforms at home and abroad are based on following relationship, and the resources released by the resource publisher will be sent to the followers of the resource publisher. However, the information dissemination platform based on the following relationship has the following disadvantages: 1. Hot resources are often repeated among different publishers, and followers who overlap between different publishers tend to receive multiple highly similar resources, which seriously affects the resource reception of followers experience, which is not conducive to the maintenance of the follower relationship; 2. Resource publishers falsify the number of followers for profit, and the existence of...

AI Technical Summary

Problems solved by technology

However, the information dissemination platform based on the following relationship has the following disadvantages: 1. Hot resources are often repeated among different publishers, and followers who overlap between different publishers tend to receive multiple highly similar resources, which seriously affects the resource reception of followers experience, which is not conducive to the maintenance of the follower relationship; 2. Resource publishers falsify the number of followers for profit, and the existence of a large number of zombie fans seriously affects other users' judgment of the resource quality of publishers; 3. The information acquisition advantage is weak Publishers often need strong innovation ability to maintain the quality of newly released resources in order to maintain the following relationship. When the test frequency of innovation ability increases or the time span increases, most followers will cancel the following relationship due to the decline in the quality of the publisher’s resources , when most of the publishers have a downward trend in the number of followers, it will seriously affect the user experience of the information dissemination platform based on the following relationship

The resource dissemination method based on the user's historical reading preference for algorithm recommendation currently has the following shortcomings: 1. The collected data, such as click-through rate, reading time, and reading completeness, may not represent the real intention of the user

In order to use the algorithm recommendation mechanism to increase the recommendation rate, many resource publishers write titles that do not match the content or publish exaggerated and bizarre content, which seriously affects the user experience

2. Similar resources will be repeatedly recommended. Plagiarism between publishers on different platforms, imitation between publishers within the platform, and identification errors in historical reading preferences will cause users on the platform to repeatedly receive similar resources.

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