IAT: Instance-As-Token Compression for Historical User Sequence Modeling in Industrial Recommender Systems

Xinchun Li, Ning Zhang, Qianqian Yang +11

Although sophisticated sequence modeling paradigms have achieved remarkable success in recommender systems, the information capacity of hand-crafted sequential features constrains…