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DataFunSummit
DataFunSummit
Nov 23, 2021 · Artificial Intelligence

Travel Intention‑Aware Out‑of‑Town POI Recommendation (TRAINOR) Framework

This article presents TRAINOR, a travel‑intention‑aware out‑of‑town POI recommendation framework that tackles cold‑start, interest‑drift, and geographical gaps by jointly modeling hometown preferences with graph neural networks, neural topic models for travel intention, and matrix‑factorization‑based out‑of‑town preference transfer, and validates its superiority through extensive cross‑city experiments.

POI recommendationcold startgraph neural network
0 likes · 16 min read
Travel Intention‑Aware Out‑of‑Town POI Recommendation (TRAINOR) Framework
DataFunTalk
DataFunTalk
Oct 29, 2021 · Artificial Intelligence

Travel Intention‑Aware Out‑of‑Town POI Recommendation (TRAINOR) Framework

This article proposes TRAINOR, a travel‑intention‑aware out‑of‑town POI recommendation framework that tackles cold‑start and interest‑drift challenges by integrating graph neural networks for hometown preference, neural topic models for generic travel intentions, personalized intention inference, geographic modeling, and a preference‑transfer MLP, validated on real cross‑city check‑in data with superior recall performance.

POI recommendationcold startgraph neural network
0 likes · 15 min read
Travel Intention‑Aware Out‑of‑Town POI Recommendation (TRAINOR) Framework