3 papers
cs.IR2026
R2LED: Equipping Retrieval and Refinement in Lifelong User Modeling with Semantic IDs for CTR Prediction
Qidong Liu, Gengnan Wang, Zhichen Liu +6
Lifelong user modeling, which leverages users' long-term behavior sequences for CTR prediction, has been widely applied in personalized services. Existing methods generally adopted…
cs.IR2024
Sequential LLM Framework for Fashion Recommendation
Han Liu, Xianfeng Tang, Tianlang Chen +9
The fashion industry is one of the leading domains in the global e-commerce sector, prompting major online retailers to employ recommendation systems for product suggestions and cu…
cs.IR2024
Better Late Than Never: Formulating and Benchmarking Recommendation Editing
Chengyu Lai, Sheng Zhou, Zhimeng Jiang +5
Recommendation systems play a pivotal role in suggesting items to users based on their preferences. However, in online platforms, these systems inevitably offer unsuitable recommen…