Crowd_Frame: A Simple and Complete Framework to Deploy Complex Crowdsourcing Tasks Off-the-shelf.
Michael Soprano|Kevin Roitero|Francesco Bombassei De Bona|Stefano Mizzaro
| Anthology ID: | DBLP:conf/wsdm/SopranoRBM22 |
|---|---|
| Volume: | WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21 - 25, 2022 |
| Year: | 2022 |
| Venue: | Web Search and Data Mining (WSDM) |
| Publisher: | ACM |
| Pages: | 1605-1608 |
| URL: | https://doi.org/10.1145/3488560.3502182 |
| DOI: | https://doi.org/10.1145/3488560.3502182 |
| DBLP: | conf/wsdm/SopranoRBM22 |
| BibTeX: |
@inproceedings{soprano-2022-crowdframe,
author = {Michael Soprano and
Kevin Roitero and
Francesco Bombassei De Bona and
Stefano Mizzaro},
editor = {K. Sel\c{c}uk Candan and
Huan Liu and
Leman Akoglu and
Xin Dong and
Jiliang Tang},
title = {{Crowd_Frame: A Simple and Complete Framework to Deploy Complex Crowdsourcing Tasks Off-the-shelf}},
booktitle = {{WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21 - 25, 2022}},
pages = {1605--1608},
publisher = {ACM},
year = {2022},
url = {https://doi.org/10.1145/3488560.3502182},
doi = {https://doi.org/10.1145/3488560.3502182}
}