Kazushi Okamoto

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

2025

Serendipity in recommender systems (RSs) has attracted increasing attention as a concept that enhances user satisfaction by presenting unexpected and useful items. However, evaluating serendipitous performance remains challenging because its ground truth is generally unobservable. …