TokenMinds: Pretrained User Tokens and Embeddings for User Understanding in Large Recommender Systems.

arXiv:2606.25147v2 Announce Type: replace-cross Abstract: User modeling in industrial recommender systems typically produces dense embeddings, which suffer from representational constraints due to fixed-dimensional vectors. As an emerging alternative for discr