I think what you're describing is what people working with recommender systems call serendipity. Maximizing serendipity, while maintaining relatively high relev

I think what you're describing is what people working with recommender systems call serendipity. Maximizing serendipity, while maintaining relatively high relevance/recommendation success rate, is supposedly a pretty difficult problem to solve. I'm not sure if LLMs have changed that.