科技创新与应用2025，Vol.15Issue(36)：35-38,4.DOI:10.19981/j.CN23-1581/G3.2025.36.008
大模型多路召回优化驱动的地名地址精准匹配研究
摘要
Abstract
To address the challenges brought by fuzzy,incomplete and non-standardized inputs in place name and address matching,this paper proposes a large-model-driven multi-way recall optimization method.The method integrates four types of complementary recall strategies:keywords and inverted indexing ensure basic matching efficiency and interpretability;vector similarity enhances the identification of semantic variants;geographical proximity uses spatial coordinates to enhance fuzzy georeferencing processing;large model generative recall covers non-normalized input.Based on Guangzhou City's standard place name database and constructing a test set containing 21 300 disturbed addresses,experimental results show that this method is significantly better than the single path baseline in terms of accuracy,recall rate,MRR and NDCG@10,which verifies the effectiveness and robustness of this strategy in complex input scenarios,and provides a feasible technical path for high-precision place name address matching.关键词
地名地址匹配/多路召回/大模型/语义检索/倒排索引Key words
place name and address matching/multi-way recall/large model/semantic retrieval/inverted index分类
天文与地球科学引用本文复制引用
..大模型多路召回优化驱动的地名地址精准匹配研究[J].科技创新与应用,2025,15(36):35-38,4.基金项目
国家重点研发计划项目(2022YFC3800704-2)资助 （2022YFC3800704-2）
