无监督实体链接的最近邻搜索

Proceedings of the 5th Workshop on Data Science for Macro-modeling with Financial and Economic Datasets Pub Date : 2019-06-30 DOI:10.1145/3336499.3338011

Qingchen Wang

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引用次数: 0

摘要

在本次FEIII挑战赛中，参赛者的任务是通过一系列数据收集来匹配加州的小企业，包括公司注册、销售税许可证、酒类许可证和餐馆检查。我们通过基于文本的企业主要名称和街道地址的相似性度量，使用最近邻居搜索来呈现匹配结果。人工检查火柴的质量显示有希望的火柴。

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Nearest Neighbor Search for Unsupervised Entity Linkage

In this FEIII challenge competitors are tasked with matching small businesses in California across a number of data collections containing corporate registrations, sales tax permits, liquor licenses and restaurant inspections. We present match results using a nearest neighbor search via text-based similarity metrics on the businesses' primary names and street addresses. Manual inspection of the quality of matches shows promising matches.

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Proceedings of the 5th Workshop on Data Science for Macro-modeling with Financial and Economic Datasets

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