End-to-end learnable clustering for intent learning in recommendation
Intent learning, which aims to learn users' intents for user understanding and item
recommendation, has become a hot research spot in recent years. However, the existing …
recommendation, has become a hot research spot in recent years. However, the existing …
Darec: A disentangled alignment framework for large language model and recommender system
X Yang, H **g, Z Zhang, J Wang, H Niu… - arxiv preprint arxiv …, 2024 - arxiv.org
Benefiting from the strong reasoning capabilities, Large language models (LLMs) have
demonstrated remarkable performance in recommender systems. Various efforts have been …
demonstrated remarkable performance in recommender systems. Various efforts have been …