KOREASCHOLAR

EXTRACTING OFFLINE RETAIL SHOPPING PATTERNS: OLLABORATIVE FILTERING WITH RESTRICTED BOLTZMANN MACHINES

Myounggu Lee, Jihoon Cho, Youngju Kim, Hye-Jin Kim
  • LanguageENG
  • URLhttp://db.koreascholar.com/Article/Detail/422929
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Global Marketing Conference
2023 Global Marketing Conference at Seoul (2023.07)
pp.888-892
글로벌지식마케팅경영학회 (Global Alliance of Marketing & Management Associations)
Abstract

This study proposes a new collaborative filtering model that integrates Restricted Boltzmann Machines. The proposed two-stage model is applied to household-level supermarket purchase data. Results show that our model fits the data better and outperforms existing collaborative filtering methods in predicting shopping patterns. The proposed model also improves interpretations of market complexity and common causes of coincidence associated with customers’ multi-category purchases.

Keyword
Retail ManagementMulti-categoryCollaborative FilteringRestricted Boltzmann Machines
Author
  • Myounggu Lee(South Korea, KAIST)
  • Jihoon Cho(USA, Kansas State University)
  • Youngju Kim(France, Neoma Business School)
  • Hye-Jin Kim(South Korea, KAIST)