Personalization Weight

Updated February 28, 2026

Personalization weight is the importance assigned to your safety profile, goals, adherence, and symptom history during ranking.

Why it matters

The more complete your profile, the more your recommendations reflect your actual constraints than generic population averages.

Think of them as adjustable priors:

These inputs combine with evidence metadata and recency weighting.

A single repeated behavior change can outweigh older sparse history because it changes current state:

if adherence rises from 40% to 85%, consistency gains can pull more structured stacks forward
if missed-dose events cluster again, exploratory suggestions can lose priority

one extra 2-hour late pattern can shift weights toward route/frequency simplification
adding a sensitivity note can reprioritize calming compounds above stimulating ones
reducing uncertainty in doses can increase confidence without changing the compounds themselves

Use a meaningful update window (3+ days) after behavior change before expecting ranking to settle.

Evidence is limited on perfect weight transfer across different life phases and medication changes.
Evidence is limited on long-term stability of personalization settings without ongoing logging.

Personalization weights show up as why-same-ingredient recommendations rise, fall, or pause when your behavior changes between cycles.

Behavior changes can be dramatic; if significant symptoms emerge, prioritize safety settings over optimization weights.