Customer-based Recommendation Model for Next Merchant Recommendation

• 영문명: Customer-based Recommendation Model for Next Merchant Recommendation
• 발행기관: 한국스마트미디어학회
• 저자명: 칼리나 바야르체첵 이주홍
• 간행물 정보: 『스마트미디어저널』Vol12, No.5, 9~16쪽, 전체 8쪽
• 주제분류: 공학 > 컴퓨터학
• 파일형태: PDF
• 발행일자: 2023.06.30

영문 초록

In the recommendation system of the credit card company, it is necessary to understand the customer patterns to predict a customer’s next merchant based on their histories. The data we want to model is much more complex and there are various patterns that customers choose. In such a situation, it is necessary to use an effective model that not only shows the relevance of the merchants, but also the relevance of the customers relative to these merchants. The proposed model aims to predict the next merchant for the customer. To improve prediction performance, we propose a novel model, called Customer-based Recommendation Model (CRM), to produce a more efficient representation of customers. For the next merchant recommendation system, we use a synthetic credit card usage dataset, BC’17. To demonstrate the applicability of the proposed model, we also apply it to the next item recommendation with another real-world transaction dataset, IJCAI’16.

목차

Ⅰ. INTRODUCTION

Ⅱ. RELATED WORK

Ⅲ. PROPOSED METHOD

Ⅳ. EXPERIMENTS

CONCLUSIONS

REFERENCES

키워드

Next Merchant Recommendation Customer-based Recommendation Deep Learning