2 citations · 2 across the 6 of their papers we have counts for
4 papers · 1 filter
Enhancing Group Recommendation with Memory-Augmented Reasoning in LLM Agent
Qimeng Niu, Bowen Hao, Zixuan Zhang +2
The core challenge in group recommendation lies in modeling the dynamic evolution of user preferences and explain?ing the consensus formation process. Existing Large Language Model…
SCaLRec: Semantic Calibration for LLM-enabled Cloud-Device Sequential Recommendation
Ruiqi Zheng, Jinli Cao, Jiao Yin +1
Cloud-device collaborative recommendation partitions computation across the cloud and user devices: the cloud provides semantic user modeling, while the device leverages recent int…
On-Device Large Language Models for Sequential Recommendation
Xin Xia, Hongzhi Yin, Shane Culpepper
On-device recommendation is critical for a number of real-world applications, especially in scenarios that have agreements on execution latency, user privacy, and robust functional…
A Survey on Sequential Recommendation
Liwei Pan, Weike Pan, Meiyan Wei +2
Different from most conventional recommendation problems, sequential recommendation focuses on learning users' preferences by exploiting the internal order and dependency among the…