Massive Memorization with Hundreds of Trillions of Parameters for Sequential Transducer Generative Recommenders

Zhimin Chen, Chenyu Zhao, Ka Chun Mo +7

Modern large-scale recommendation systems rely heavily on user interaction history sequences to enhance the model performance. The advent of large language models and sequential mo…