SOURCE-LINKED INTELLIGENCE

Designing for the Next Click: Bandits for Real-Time Page Layout

arXiv · AI, language, vision and robotics · article · Aug 30, 2026 · UTC

E-commerce platforms increasingly personalize user experiences through machine learning, yet page layout decisions remain dominated by static rules and manual curation. We present a scalable bandit-based system that optimizes product page layouts in real time while preserving human control over design intent. A contextual bandit model dynamically selects the most effective layout for each session using user, item, and category-level features. The system leverages a LinUCB-based policy to balance exploration and exploitation as it learns from live user interactions. The architecture is designed

Read original source ↗ Open in workspace

recordType

paper

region

Global