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} }