Hybrid Record Linkage

Our Hybrid Record Linkage framework combines the automatic and manual review process to achieve both scalability and high-quality linkage results by allowing the automated algorithms to resolve the majority of the linkages that have a high probability of being either a match or non-match, but also have the option to send ambiguous pairs to human experts for final determination to improve the linkage quality. You can use our trained models to conduct record linkage on your data or train a new model using your own dataset.本混合记录链接（Hybrid Record Linkage）框架结合自动与人工审核流程，可同时实现可扩展性与高质量的记录匹配效果：其允许自动算法处理绝大多数匹配或非匹配概率较高的记录匹配任务，同时支持将模糊匹配对交由人工专家完成最终判定，以此进一步提升匹配质量。用户可使用我们训练好的模型对自有数据开展记录链接任务，也可基于自有数据集训练全新的模型。