TitleBusiness Performance Prediction in Location-based Social Commerce
Publication TypeJournal Articles
Year of Publication2019
AuthorsChang, X, Li, J
JournalExpert Systems with Applications
Date Published2019
KeywordsSupply Chain
Abstract

Social commerce and location-based services provide a data platform for coexisting and competing businesses in geographical neighborhoods. Our research is aimed at mining data from such platforms to gain valuable insights for better support to strategic and operational business decisions. We develop a computational framework for predicting business performance that takes into account both intrinsic (e.g., attributes) and extrinsic (e.g., competitions) factors. Our experiments on synthetic and real datasets demonstrated superiority of a hybrid prediction model that adopts both link-based and context-based assumptions.

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