Recommendations become more useful when people can understand and adjust the signals shaping them.
Embeddings and similarity provide the machinery, but the experience still needs clear preference capture, feedback, and graceful exploration outside the obvious choices.
Make personalization revisable. A user should be able to steer the system without restarting the experience.