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

Abstract

The invention discloses a method for disseminating resources, which includes: obtaining a first resource disseminated by a first account in a first user group; obtaining the influence of the first account in the first user group, so as to determine the resources according to the influence. The propagation amount of the first resource; obtain the first resource propagation tree of the first resource; wherein, the first resource propagation tree is used to record and cache the propagation action of the first resource; according to the first resource propagation tree . User accounts in the first user group that have not received the first resource and the transmission amount, determine target user accounts for transmitting the first resource, and record the target user accounts in the first A resource propagation tree: propagating the first resource to the target user account. The invention also discloses a resource dissemination device, server and storage medium, based on a node-controlled transmission grouping tree-like dissemination mode, which reduces the probability of users receiving duplicate resources and improves the quality of resources with a large dissemination amount.

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 online 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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