POI使用用户位置在交付过程中进行数据发现
POI Alias Discovery in Delivery Addresses using User Locations
摘要：
人们经常用别名来指代感兴趣的地方（POI）。在电子商务场景中，POI别名问题影响在线订单的交付地址质量，给智能物流系统和市场决策带来实质性挑战。标记POI的别名涉及大量的人力劳动，这是低效且昂贵的。受用户的GPS位置与其送货地址高度相关的观察的启发，我们提出了一个无处不在的别名发现框架。首先，对于交付地址中的每个POI名称，提取其相关联的用户的位置数据，即移动性简档。然后，我们通过对移动配置文件的相似性建模来识别别名关系。通过对京东物流大规模位置数据和收货地址数据的综合实验，验证了该方法的有效性。
英文摘要：
People often refer to a place of interest (POI) by an alias. In e-commerce scenarios, the POI alias problem affects the quality of the delivery address of online orders, bringing substantial challenges to intelligent logistics systems and market decision-making. Labeling the aliases of POIs involves heavy human labor, which is inefficient and expensive. Inspired by the observation that the users' GPS locations are highly related to their delivery address, we propose a ubiquitous alias discovery framework. Firstly, for each POI name in delivery addresses, the location data of its associated users, namely Mobility Profile are extracted. Then, we identify the alias relationship by modeling the similarity of mobility profiles. Comprehensive experiments on the large-scale location data and delivery address data from JD logistics validate the effectiveness.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
