/** * SMI-1536: End-to-End Learning Loop Integration Tests * * Tests the complete learning loop from signal collection through * personalized recommendations, verifying measurable improvements. * * Test Cases: * 1. Learning improves recommendations over 10 interactions * 2. Dismiss patterns reduce category scores measurably * 3. Combined signals (accept + usage) boost scores higher * 4. Learning persists across session restart * * @see packages/core/src/learning/interfaces.ts * @see docs/internal/execution/phase5-testing-execution.md */ export {}; //# sourceMappingURL=e2e-learning.test.d.ts.map