Continuous Conditional Random Field에 의한 인터넷 쇼핑몰 신규 고객등급 예측
- Title
- Continuous Conditional Random Field에 의한 인터넷 쇼핑몰 신규 고객등급 예측
- Other Titles
- Prediction of New Customer’s Degree of Loyalty of Internet Shopping Mall Using Continuous Conditional Random Field
- Author
- 허선
- Keywords
- Customer Loyalty; Continuous Conditional Random Field(C-CRF); RFM Score; Similarity
- Issue Date
- 2015-02
- Publisher
- 대한산업공학회
- Citation
- 대한산업공학회지, v. 41, NO. 1, Page. 10-16
- Abstract
- In this study, we suggest a method to predict probability distribution of a new customer’s degree of loyalty using C-CRF that reflects the RFM score and similarity to the neighbors of the customer. An RFM score prediction model is introduced to construct the first feature function of C-CRF. Integrating demographical similarity, purchasing characteristic similarity and purchase history similarity, we make a unified similarity variable to configure the second feature function of C-CRF. Then parameters of each feature function are estimated and we train our C-CRF model by training data set and suggest a probabilistic distribution to estimate a new customer’s degree of loyalty. An example is provided to illustrate our model.
- URI
- https://www.dbpia.co.kr/journal/articleDetail?nodeId=NODE06139164https://repository.hanyang.ac.kr/handle/20.500.11754/182893
- ISSN
- 1225-0988;2234-6457
- DOI
- 10.7232/JKIIE.2015.41.1.010
- Appears in Collections:
- COLLEGE OF ENGINEERING SCIENCES[E](공학대학) > INDUSTRIAL AND MANAGEMENT ENGINEERING(산업경영공학과) > Articles
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