Content delivery method and device of social platform, storage medium and equipment

By constructing a ternary matching model, the optimal 'strategy-platform-account' combination is dynamically selected, solving the problem of lack of adaptability in social platform content delivery, achieving precise delivery and efficient interactive conversion, and forming a data-driven closed-loop optimization mechanism.

CN121412460BActive Publication Date: 2026-07-03BEIJING UCAP INTERNET TECH
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
BEIJING UCAP INTERNET TECH
Filing Date
2025-12-26
Publication Date
2026-07-03

AI Technical Summary

Technical Problem

Existing content delivery methods on social media platforms rely on static rules and lack the ability to adapt to differences in the platform ecosystem, resulting in content delivery failing to achieve precise targeting.

Method used

We construct a three-element matching model that integrates platform ecosystem snapshots, target audience coverage, and account fit. This model dynamically selects the optimal 'strategy-platform-account' combination. By quantifying the dynamic characteristics of social platforms and the target audience coverage in real time, we conduct multi-dimensional evaluations and generate account fit scores based on historical posting records to optimize the campaign strategy.

Benefits of technology

It enables content to be delivered to the target audience on the most suitable social media platforms, by the most matching user accounts, in the most appropriate publishing format and time, greatly improving the accuracy of content triggering and the efficiency of interaction conversion, and avoiding the failure of delivery due to platform algorithm adjustments and user behavior migration.

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Abstract

The application discloses a content delivery method and device of a social platform, a storage medium and equipment, and belongs to the technical field of deep learning. A node to be dispatched is acquired in a strategy map, the node is generated according to a delivery target and is associated with multiple delivery strategies; a platform ecological snapshot and target crowd coverage are generated according to platform data of the social platform; an account adaptation degree is generated according to a publishing record of a user account; the most adaptive n triplets are screened according to the platform ecological snapshot, the target crowd coverage and the account adaptation degree, each triplet comprising a delivery strategy, a social platform and a user account; and content delivery is performed using the corresponding user account under the corresponding social platform by using the delivery strategy corresponding to the triplet. The application can dynamically screen the optimal "strategy-platform-account" combination, improve the content triggering precision and interactive conversion efficiency, update the scheduling weight corresponding to the delivery effect to the node, schedule the node according to the scheduling weight, and realize autonomous optimization of delivery.
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Citation Information

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