TY - JOUR T1 - Business Performance Prediction in Location-based Social Commerce JF - Expert Systems with Applications Y1 - 2019 A1 - Chang,Xiaohui A1 - Li,Jiexun KW - Business Analytics AB - 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. VL - 126 U2 - a U4 - 141504974848 ID - 141504974848 ER -