serendipity in recommendation systems

Serendipity in recommendation systems refers to the aspect of discovering unexpected and delightful recommendations that are not directly related to a user's known preferences or existing patterns, but still highly relevant and appreciated by the user. It involves pleasantly surprising users with recommendations that they may not have encountered or considered otherwise, leading to an enhanced user experience.

Requires login.