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Beibei Li from Heinz College of Information Systems and Public Policy at Carnegie Mellon University shares insights from her paper which proposes a novel “trajectory-based” targeting strategy for mobile recommendation that leverages detailed information on consumers’ physical-movement trajectories using fine-grained behavioral information from different mobility dimensions. To learn more about the Digital Initiative, check out digital.hbs.edu.

Transcript: https://hbs.me/2wqaEKf

Beibei Li on Mobile Targeting Using Customer Trajectory Patterns

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Beibei Li on Mobile Targeting Using Customer Trajectory Patterns

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