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People often refer to a place of interest (POI) by an alias. In e-commercescenarios, the POI alias problem affects the quality of the delivery address ofonline orders, bringing substantial challenges to intelligent logistics systemsand market decision-making. Labeling the aliases of POIs involves heavy humanlabor, which is inefficient and expensive. Inspired by the observation that theusers' GPS locations are highly related to their delivery address, we propose aubiquitous alias discovery framework. Firstly, for each POI name in deliveryaddresses, the location data of its associated users, namely Mobility Profileare extracted. Then, we identify the alias relationship by modeling thesimilarity of mobility profiles. Comprehensive experiments on the large-scalelocation data and delivery address data from JD logistics validate theeffectiveness.

POI Alias Discovery in Delivery Addresses using User Locations