/**
 * SMI-1535: Personalization Engine Integration Tests
 *
 * Tests the IPersonalizationEngine interface for applying learned
 * preferences to recommendation results in the Recommendation Learning Loop.
 *
 * Test Cases:
 * 1. shouldPersonalize() returns false with <5 signals
 * 2. shouldPersonalize() returns true with 5+ signals
 * 3. personalizeRecommendations() re-ranks by learned scores
 * 4. Category weight boosts preferred categories
 * 5. Dismiss patterns reduce scores for related skills
 * 6. Uninstall patterns have strongest negative effect
 * 7. Score breakdown shows contributing factors
 * 8. Personalization disabled by user preference
 *
 * @see packages/core/src/learning/interfaces.ts
 * @see docs/internal/execution/phase5-testing-execution.md
 */
export {};
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