Can Large Language Models Assess Serendipity in Recommender Systems?

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作者：
Graduate School of Informatics and Engineering, The University of Electro-Communications, 1-5-1 Chofugaoka, Chofu, Tokyo [1 ]
182-8585, Japan
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来源：
J. Adv. Comput. Intell. Intelligent Informatics | 2024年 / 6卷 / 1263-1272期
关键词：
Benchmark datasets - Binary classification - Classification tasks - Language model - Large language model - Overspecialization - Predictive performance - Serendipity - User's preferences - Value judgement;
D O I：
10.20965/jaciii.2024.p1263
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