用关系建模自动审批办公系统权限，省时省力。
Intelligent Approval of Access Control Flow in Office Automation Systems via Relational Modeling
- 构建二元与三元关系模型，分析申请人、审批人和资源间关联。
- 在两个产品数据集上验证，自动化审批准确率显著提升。
- 适合需要优化权限审批流程的企业级系统开发者。
办公自动化（OA）系统在企业运营中至关重要，其访问控制流审批（ACFA）是管理资源访问的核心环节。传统方法需每步由负责人手动审批，耗费大量人力与时间，智能化亟待解决。本文提出一种基于关系建模的智能审批框架（RMIA），包含两个核心模块：（1）二元关系建模模块，从粗粒度刻画申请人与审批人之间的耦合关系，为决策提供基础信息；（2）三元关系建模模块，以具体资源信息为核心，刻画申请人、资源与审批人之间的复杂关系，提供细粒度决策依据。随后，RMIA有效融合两类信息形成最终决策。在两个真实产品数据集及一次线上A/B测试中进行广泛实验，验证了该方法的有效性。
原文摘要 · Abstract (English)
Office automation (OA) systems play a crucial role in enterprise operations and management, with access control flow approval (ACFA) being a key component that manages the accessibility of various resources. However, traditional ACFA requires approval from the person in charge at each step, which consumes a significant amount of manpower and time. Its intelligence is a crucial issue that needs to be addressed urgently by all companies. In this paper, we propose a novel relational modeling-driven intelligent approval (RMIA) framework to automate ACFA. Specifically, our RMIA consists of two core modules: (1) The binary relation modeling module aims to characterize the coupling relation between applicants and approvers and provide reliable basic information for ACFA decision-making from a coarse-grained perspective. (2) The ternary relation modeling module utilizes specific resource information as its core, characterizing the complex relations between applicants, resources, and approvers, and thus provides fine-grained gain information for informed decision-making. Then, our RMIA effectively fuses these two kinds of information to form the final decision. Finally, extensive experiments are conducted on two product datasets and an online A/B test to verify the effectiveness of RMIA.
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