120 citations · 128 across the 4 of their papers we have counts for
4 papers
Joint Triplet Loss Learning for Next New POI Recommendation
Nicholas Lim, Bryan Hooi, See-Kiong Ng +1
Sparsity of the User-POI matrix is a well established problem for next POI recommendation, which hinders effective learning of user preferences. Focusing on a more granular extensi…
Combining Reinforcement Learning and Optimal Transport for the Traveling Salesman Problem
Yong Liang Goh, Wee Sun Lee, Xavier Bresson +2
The traveling salesman problem is a fundamental combinatorial optimization problem with strong exact algorithms. However, as problems scale up, these exact algorithms fail to provi…
Origin-Aware Next Destination Recommendation with Personalized Preference Attention
Nicholas Lim, Bryan Hooi, See-Kiong Ng +4
Next destination recommendation is an important task in the transportation domain of taxi and ride-hailing services, where users are recommended with personalized destinations give…
STP-UDGAT: Spatial-Temporal-Preference User Dimensional Graph Attention Network for Next POI Recommendation
Nicholas Lim, Bryan Hooi, See-Kiong Ng +4
Next Point-of-Interest (POI) recommendation is a longstanding problem across the domains of Location-Based Social Networks (LBSN) and transportation. Recent Recurrent Neural Networ…