2023 · 12 citations · 15 references
ComputingData ScienceKnowledge ManagementData MiningKnowledge RepresentationKnowledge SharingCommonsense ReasoningData IntegrationMobile CommerceWeb MiningCommonsense Knowledge BasesCommonsense Knowledge GraphsEnd UsersHeterogeneous Data ManagementScenarios
The recently explosive growth of Super Apps brings great convenience to people's daily life by providing a wide variety of services through mini-programs, including online shopping, travel, finance, and so on. Due to the considerable gap between various scenarios, the restriction of effective information transfer and sharing severely blocks the efficient delivery of online services, potentially affecting the user's app experience. To deeply understand users' needs, we propose SupKG, a commonsense knowledge graph towards Super APP to help comprehensively characterize user behaviors across different business scenarios. In particular, our SupKG is carefully established from multiplex and heterogeneous data source in Alipay (a well-known Super App in China), which also emphasize abundant spatiotemporal relations and intent-related entities to answer the fundamental question in life service ''which service do users need at what time and where''.
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