Document collaboration method and system based on cloud office

By identifying the characteristics of the cloud office document collaboration mode and using pre-trained models to predict collaboration needs, dynamically configure permissions and control data synchronization, the problem of unreasonable permission allocation in the traditional cloud office document collaboration method is solved, and the collaboration efficiency and security are improved.

CN119721998AActive Publication Date: 2025-03-28TAICANG CITY LVDIAN INFORMATION TECH CO LTD
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Patent Information

Application Number
CN202510244619.5
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-03-03
Publication Date
2025-03-28
Estimated Expiration
2045-03-03

AI Technical Summary

Technical Problem

The traditional cloud office document collaboration method lacks flexibility and cannot dynamically adjust permissions according to user actual needs, resulting in unreasonable permission allocation and increasing the risk of document misoperation or tampering.

Method used

By obtaining the document operation records of the target document, identifying the collaboration mode characteristics, using the pre-trained collaboration demand prediction model to generate the collaboration demand prediction results, dynamically configure the permission hierarchy structure, and controlling data synchronization based on the collaboration strength indicators.

Benefits of technology

It realizes flexible allocation of permissions according to user operation needs, avoid excessive or insufficient permissions, improves document collaboration efficiency and security, and ensures the accuracy and stability of data synchronization.

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Abstract

The invention provides a document collaboration method and system based on cloud office, and the method comprises the steps: firstly obtaining a target document operation record set of a cloud office platform, including user terminal operation event sequences (operation types and timestamps), and then recognizing document collaboration mode features according to the operation event sequences, operation overlapping time periods, type relevance and frequency distribution are covered, then a pre-training model is used for analysis to obtain a cooperation demand prediction result containing a cooperation object set and a cooperation strength index, dynamic permission configuration is conducted on cooperation objects according to the cooperation strength index, and a permission hierarchical structure is generated. And finally, in response to a cooperation request of the target user terminal, controlling the data synchronization process of the document based on the permission range. According to the method, the efficiency, the safety and the intelligent degree of cloud office document collaboration are effectively improved.
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