法律服务资源的分配方法、装置、设备以及存储介质
By combining offline coarse sorting with dynamic metadata, legal service resources are filtered and sorted, solving the problem of low resource allocation efficiency in existing technologies and achieving more efficient and accurate resource recommendation.
CN120806126BActive Publication Date: 2026-07-17BAIDU ONLINE NETWORK TECH (BEIJIBG) CO LTD
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- BAIDU ONLINE NETWORK TECH (BEIJIBG) CO LTD
- Filing Date
- 2025-06-20
- Publication Date
- 2026-07-17
AI Technical Summary
Technical Problem
Existing methods for allocating legal service resources are inadequate to quickly and accurately meet users' personalized needs, resulting in low efficiency in resource allocation.
Method used
Offline coarse-sorting rules are used to initially screen legal service resources. The sorting is then adjusted by combining dynamic metadata to generate an optimized resource sequence. User needs are analyzed through an intent recognition model to recommend legal service resources that meet the constraints.
Benefits of technology
It has improved the efficiency and accuracy of legal service resource allocation, ensuring that resource recommendations meet users' actual needs and enhancing user experience.
✦ Generated by Eureka AI based on patent content.
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Abstract
本公开提供了一种法律服务资源的分配方法、装置、设备以及存储介质，涉及人工智能技术领域，尤其涉及数据处理、大数据等技术领域。具体实现方案为：响应于目标对象提供的任意形式的自然语言输入，确定目标对象所需获取的法律服务资源的约束条件；从法律服务资源序列中，获取与约束条件匹配的法律服务资源，推荐给目标对象；其中，法律服务资源序列基于预设时间段内的第一类元数据对应的排序参数，调整待优化资源序列中的资源排序后得到；待优化资源序列基于离线粗排规则生成；第一类元数据为法律服务资源的动态数据。
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