Predicting Choice with Set-Dependent Aggregation

14 Jun 2019Nir RosenfeldKojin OshibaYaron Singer

Providing users with alternatives to choose from is an essential component in many online platforms, making the accurate prediction of choice vital to their success. A renewed interest in learning choice models has led to significant progress in modeling power, but most current methods are either limited in the types of choice behavior they capture, cannot be applied to large-scale data, or both... (read more)

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