Pre-train and Fine-tune: Recommenders as Large Models

Zhenhao Jiang, Chenghao Chen, Hao Feng +5

In reality, users have different interests in different periods, regions, scenes, etc. Such changes in interest are so drastic that they are difficult to be captured by recommender…