maj34/Analysis-Programming-Project
[ 전공 프로젝트: 분석 프로그래밍 ] L사의 고객 세분화를 통한 맞춤형 상품 추천
Implements multiple customer segmentation techniques—K-means clustering (chosen over DBSCAN and GMM for scalability), RFM analysis stratified by cluster to identify customer lifecycle stages, and market basket analysis with association rule mining (minimum support 0.2, confidence thresholds 0.7-0.8). Combines online behavioral data (session logs, search keywords) with offline transaction records through separate preprocessing pipelines, then applies collaborative filtering to generate personalized product recommendations based on similar consumer cohorts.
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Jan 19, 2023
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