SparkML

Recommender systems should prioritize serendipity over pure accuracy for user engagement.

Accuracy is not the sole metric for evaluating recommender systems, as serendipity—the ability to pleasantly surprise users—is also crucial for long-term engagement. While accuracy metrics like NDCG and MAP are widely a…