MRP-LLM improves next-POI recommendation accuracy over LLM baselines by combining user preference extraction, neighbor preference retrieval, and differential privacy, with a small utility cost when privacy is enabled.
Stan: spatio-temporal attention network for next location recommendation,
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
background 1
citation-polarity summary
fields
cs.IR 1years
2024 1verdicts
CONDITIONAL 1roles
background 1polarities
background 1representative citing papers
citing papers explorer
-
MRP-LLM: Multitask Reflective Large Language Models for Privacy-Preserving Next POI Recommendation
MRP-LLM improves next-POI recommendation accuracy over LLM baselines by combining user preference extraction, neighbor preference retrieval, and differential privacy, with a small utility cost when privacy is enabled.