A Dual-Embedding Based DQN for Worker Recruitment in Spatial Crowdsourcing with Social Network.
Yucen Gao|Wei Liu|Jianxiong Guo|Xiaofeng Gao|Guihai Chen
| Anthology ID: | DBLP:conf/sigir/GaoLG0C24 |
|---|---|
| Volume: | Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2024, Washington DC, USA, July 14-18, 2024 |
| Year: | 2024 |
| Venue: | Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) |
| Publisher: | ACM |
| Pages: | 1670-1679 |
| URL: | https://doi.org/10.1145/3626772.3657718 |
| DOI: | https://doi.org/10.1145/3626772.3657718 |
| DBLP: | conf/sigir/GaoLG0C24 |
| BibTeX: |
@inproceedings{gao-2024-dualembedding,
author = {Yucen Gao and
Wei Liu and
Jianxiong Guo and
Xiaofeng Gao and
Guihai Chen},
editor = {Grace Hui Yang and
Hongning Wang and
Sam Han and
Claudia Hauff and
Guido Zuccon and
Yi Zhang},
title = {{A Dual-Embedding Based DQN for Worker Recruitment in Spatial Crowdsourcing with Social Network}},
booktitle = {{Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2024, Washington DC, USA, July 14-18, 2024}},
pages = {1670--1679},
publisher = {ACM},
year = {2024},
url = {https://doi.org/10.1145/3626772.3657718},
doi = {https://doi.org/10.1145/3626772.3657718}
}