#segmentation
노트 3개
- Customer Segmentation Customer Segmentation은 고객을 행동·가치·선호의 유사성에 따라 유한 개의 세그먼트(segment)로 나누는 비지도(unsupervised) 과제다. 보통 잠재요인을 먼저 분해한 뒤 군집화하는데, 그 흐름은 행동 특성(feature) → NMF(비음수 parts-based 분해) → factor…
- Customer Segmentation & Causal Targeting — An Applied Case Study An end-to-end applied case study on the public Dunnhumby dataset — NMF latent factors and K-Means segmentation feeding meta-learner / Causal Forest HTE and an OPE-validated optimal targeting policy, with a candid look at positivity violation and counter-intuitive "sleeping dog" segments.
- Dunnhumby — Track 1: Latent-Factor Customer Segmentation NMF latent factors (92.44% explained variance) + K-Means yield 7 stable behavioral segments (Bootstrap ARI 0.77) with per-segment marketing actions. Illustrative case study on the public Dunnhumby retail dataset.