Attention Mechanism Architecture

Parietal Cortex Selective Filtering

Built attention mechanism for product recommendation system using Claude Opus 4.1, inspired by parietal cortex selective attention networks. System processes 840 product attributes but dynamically weights only 12-15 features per customer query (dorsal attention stream). Mirrors ventral parietal cortex goal-directed attention: user intent vector modulates feature salience—"waterproof hiking boots under $150" elevates [waterproof_rating, price, terrain_grip] while suppressing [color_options, brand_prestige].

Anthropic's extended thinking feature (Claude Opus 4.1) generates 4,000-token internal reasoning chains before final recommendation. Client's previous TF-IDF system treated all features equally—zero attention weighting. New architecture improved conversion rate from 2.1% to 7.8% by surfacing contextually relevant products. Zero complaints about irrelevant recommendations in 3 months post-deployment.