A systematic framework of predicting customer revisit with in-store sensors

Author:

Kim SundongORCID,Lee Jae-Gil

Funder

National Research Foundation of Korea

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Hardware and Architecture,Human-Computer Interaction,Information Systems,Software

Reference45 articles.

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3. Brébisson A, Simon É, Auvolat A, Vincent P, Bengio Y (2015) Artificial neural networks applied to taxi destination prediction. In: Proceedings of the 2015 ECML/PKDD discovery challenge. Springer, pp 40–51

4. Chen T, Guestrin C (2016) XGBoost: a scalable tree boosting system. In: Proceedings of the 22nd ACM SIGKDD international conference on knowledge discovery and data mining. ACM, pp 785–794

5. Friedman JH (2001) Greedy function approximation: a gradient boosting machine. Ann Stat 29(5):1189–1232

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