一作SIGIR 2026Oral· Information Retrieval (Full)
Drift-Aware Incremental Token Adaptation with Collaborative Semantics for Generative Recommendation
Yuebo Feng · Jiahao Liu · Mingzhe Han · Dongsheng Li · Hansu Gu · Peng Zhang · Tun Lu · Ning Gu
摘要
Generative recommendation commonly adopts a two-stage pipeline in which a learnable tokenizer maps items to discrete token sequences (i.e., identifiers) and an autoregressive generative recommender model (GRM) performs prediction based on these identifiers. Recent tokenizers further incorporate c...