The document discusses using different types of user interaction signals (clicks, bookmarks, replies) to improve job recommendations. It finds that replies most accurately reflect user preferences for job recommendations, followed by bookmarks, while clicks may not always be reliable. The conclusion recommends implementing a recommendation strategy that learns from user replies through feedback to better match users and jobs.