DO: An Efficient Deep Reinforcement Learning Approach for Optimal Route with Collective Spatial Keywords.
Jiajia Li|Jiming Dong|Lei Li|Yu Yang|Xin Wang|Mengxuan Zhang
| Anthology ID: | DBLP:conf/cikm/0003D000025 |
|---|---|
| Volume: | Proceedings of the 34th ACM International Conference on Information and Knowledge Management, CIKM 2025, Seoul, Republic of Korea, November 10-14, 2025 |
| Year: | 2025 |
| Venue: | International Conference on Information and Knowledge Management (CIKM) |
| Publisher: | ACM |
| Pages: | 1562-1571 |
| URL: | https://doi.org/10.1145/3746252.3761331 |
| DOI: | https://doi.org/10.1145/3746252.3761331 |
| DBLP: | conf/cikm/0003D000025 |
| BibTeX: |
@inproceedings{li-2025-efficient,
author = {Jiajia Li and
Jiming Dong and
Lei Li and
Yu Yang and
Xin Wang and
Mengxuan Zhang},
editor = {Meeyoung Cha and
Carl Yang and
Senjuti Basu Roy and
Chanyoung Park and
Zhenhui Jessie Li and
Noseong Park and
Carl Yang and
Senjuti Basu Roy and
Zhenhui Jessie Li and
Jaap Kamps and
Kijung Shin and
Bryan Hooi and
Lifang He},
title = {{DO: An Efficient Deep Reinforcement Learning Approach for Optimal Route with Collective Spatial Keywords}},
booktitle = {{Proceedings of the 34th ACM International Conference on Information and Knowledge Management, CIKM 2025, Seoul, Republic of Korea, November 10-14, 2025}},
pages = {1562--1571},
publisher = {ACM},
year = {2025},
url = {https://doi.org/10.1145/3746252.3761331},
doi = {https://doi.org/10.1145/3746252.3761331}
}