A Universal Framework for Offline Serendipity Evaluation in Recommender Systems via Large Language Models

Yu Tokutake, Kazushi Okamoto, Kei Harada +2

Serendipity in recommender systems (RSs) has attracted increasing attention as a concept that enhances user satisfaction by presenting unexpected and useful items. However, evaluat…