[{"id":"dormant-user-recommendation","order":1,"title":"Dormant-user recommendation","label":"Recommendation","topic":"recommender-systems","summary":"Studying recommendation for returning users after long inactivity gaps, where pre-gap history exists but its current reliability must be recalibrated."},{"id":"search-recommendation-interaction","order":2,"title":"Search and recommendation interaction","label":"Search/recommendation","topic":"recommender-systems","summary":"Studying how search behavior and recommendation exposure interact, with emphasis on attribution boundaries rather than headline metric movement."},{"id":"semantic-id-auditing","order":3,"title":"Semantic-ID auditing","label":"Semantic IDs","topic":"llm-agents","summary":"Auditing semantic-ID mappings used by generative recommendation systems before expensive downstream training and deployment decisions."},{"id":"agent-skill-retrieval","order":4,"title":"Agent skill retrieval and governance","label":"Agent skills","topic":"llm-agents","summary":"Studying retrieval and governance problems when agent skills become reusable software assets in larger enterprise skill libraries."}]