A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf
.
Personalized Route Recommendation with Neural Network Enhanced A* Search Algorithm
2021
IEEE Transactions on Knowledge and Data Engineering
In this work, we study an important task in location-based services, namely Personalized Route Recommendation (PRR). Given a road network, the PRR task aims to generate user-specific route suggestions for replying to users' route queries. A classic approach is to adapt search algorithms to construct pathfinding-like solutions. These methods typically focus on reducing search space with suitable heuristic strategies. For these search algorithms, heuristic strategies are often handcrafted, which
doi:10.1109/tkde.2021.3068479
fatcat:t7pf5eyi2jbyvmezdr6c5h5l34