3 papers
cs.IR2025
HyperMAN: Hypergraph-enhanced Meta-learning Adaptive Network for Next POI Recommendation
Jinze Wang, Tiehua Zhang, Lu Zhang +3
Next Point-of-Interest (POI) recommendation aims to predict users' next locations by leveraging historical check-in sequences. Although existing methods have shown promising result…
cs.CL2024
GRL-Prompt: Towards Knowledge Graph based Prompt Optimization via Reinforcement Learning
Yuze Liu, Tingjie Liu, Tiehua Zhang +5
Large language models (LLMs) have demonstrated impressive success in a wide range of natural language processing (NLP) tasks due to their extensive general knowledge of the world.…
cs.IR2023
Meta-learning enhanced next POI recommendation by leveraging check-ins from auxiliary cities
Jinze Wang, Lu Zhang, Zhu Sun +1
Most existing point-of-interest (POI) recommenders aim to capture user preference by employing city-level user historical check-ins, thus facilitating users' exploration of the cit…