Xiangli Yang

AutoFT: Automatic Fine-Tune for Parameters Transfer Learning in Click-Through Rate Prediction

2021 · arXiv (Cornell University)

Recommender systems are often asked to serve multiple recommendation scenarios or domains. Fine-tuning a pre-trained CTR model from source domains and adapting it to a target domain allows knowledge transferring. However, optimizing all the parameters …