3 papers
cs.IR2026
Harmonizing Semantic and Collaborative in LLMs: Reasoning-based Embedding Generator for Sequential Recommendation
Qidong Liu, Mingyao Huang, Moranxin Wang +2
Sequential Recommender Systems (SRS) predict the next item of interest based on users' interaction histories and have been widely deployed, but hindered by long-tail problem. Large…
cs.IR2026
Modeling Behavioral Intensity and Transitions for Generative Recommendation
Wenxuan Yang, Xiaoyang Xu, Hanyu Zhang +3
Multi-behavior recommendation aims to predict user conversions by modeling various interaction types that carry distinct intent signals. Recently, generative sequence modeling meth…
cs.IR2026
DMESR: Dual-view MLLM-based Enhancing Framework for Multimodal Sequential Recommendation
Mingyao Huang, Qidong Liu, Wenxuan Yang +5
Sequential Recommender Systems (SRS) aim to predict users' next interaction based on their historical behaviors, while still facing the challenge of data sparsity. With the rapid a…