MetaSR

The official implementation of a meta-learning framework that bridges next-item prediction and masked-language modeling for recommendation.

MetaSR connects two common training paradigms for sequential recommendation: next-item prediction and masked-language modeling. Its meta-learning formulation is designed to transfer useful structure between the two objectives.

The public repository provides the official implementation and experiment setup for the ACM TKDD paper, including the model and data-processing workflow.