Claim Elicitation and Seeding — DEJAN Codebase Explorer

The seeder model analyses top-ranking search results alongside target content to propose causal hypotheses, estimates an initial success prior, and maps each statement into a structured Rank Factor taxonomy with an initialised Beta prior distribution.

flowchart LR
    A[Target & Competitor Content] --> B[Seeder Model]
    B --> C[Hypothesis Claims & Priors]
    C --> D[Rank Factor Classifier]
    D --> E[Initialised Beta Distribution]

Referenced by

Human In The Loop Workflow
Posterior Win Probability
Beta Distributions in Content Optimizer
Bayesian Optimization Engine Mechanics
Two-Stage Claim Selection
Bayesian Acquisition Loop Mechanics
Rank Factor Hypotheses
Content Optimizer Four-Stage Pipeline
Thompson Sampling Selection Mechanics
Bayesian Optimization Loop Mechanics
Bayesian Optimization Loop Mechanics
Content Optimizer Workflow