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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…
cs.IR2025
LLMSeR: Enhancing Sequential Recommendation via LLM-based Data Augmentation
Yuqi Sun, Qidong Liu, Haiping Zhu +1
Sequential Recommender Systems (SRS) have become a cornerstone of online platforms, leveraging users' historical interaction data to forecast their next potential engagement. Despi…
cs.IR2024★ 1 cited
Large Language Model Enhanced Recommender Systems: A Survey
Qidong Liu, Xiangyu Zhao, Yuhao Wang +9
Large Language Model (LLM) has transformative potential in various domains, including recommender systems (RS). There have been a handful of research that focuses on empowering the…