Larger language models as news encoders do not consistently improve recommendation accuracy, but they do improve performance for cold-start users, at higher fine-tuning and compute cost.
In: Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, pp
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Revisiting Language Models in Neural News Recommender Systems
Larger language models as news encoders do not consistently improve recommendation accuracy, but they do improve performance for cold-start users, at higher fine-tuning and compute cost.