Recsys26
Two papers are accepted to RecSys 26! One studies optimizing textual decoding tries in LLM-based generative recommendation and the other studies ID-text complementarity in sequential recommendation. Congrats to Jingzhe and Liam!
Two papers are accepted to RecSys 26! One studies optimizing textual decoding tries in LLM-based generative recommendation and the other studies ID-text complementarity in sequential recommendation. Congrats to Jingzhe and Liam!