EXTRACTING OFFLINE RETAIL SHOPPING PATTERNS: OLLABORATIVE FILTERING WITH RESTRICTED BOLTZMANN MACHINES
(주)코리아스칼라
- 최초 등록일
- 2023.07.31
- 최종 저작일
- 2023.07
- 5페이지/ 어도비 PDF
- 가격 4,000원
* 본 문서는 배포용으로 복사 및 편집이 불가합니다.
서지정보
ㆍ발행기관 : 글로벌지식마케팅경영학회(GFMC)
ㆍ수록지정보 : Global Marketing Conference
ㆍ저자명 : Myounggu Lee, Jihoon Cho, Youngju Kim, Hye-Jin Kim
영어 초록
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.
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