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Jev Newsletter relevance ranking Code Example
Rank candidate links against a reader’s explicit interests.
TypeScript, databases
Interests TypeScript, databases
Candidate Understanding PostgreSQL query plans
How relevant is this link?
0%
High.
Let the application high.
Code
// Conceptual pseudocode — not Jev SDK syntax
const state = {
"interests": "TypeScript, databases",
"candidate": "Understanding PostgreSQL query plans"
};
const decision = await evaluateDecision({
state,
question: "How relevant is this link?",
options: ["High","Medium","Low"],
});
// Your adapter normalizes the provider response.
// Tune this example threshold on labelled data.
if (decision.outcome === "High"
&& decision.probability >= 0.85) {
rankNewsletterLink(decision);
} else {
queueForReview(decision);
} This adapter illustrates the decision boundary. Check the official Jev docs for current API syntax.