dli1/magp

magp

Code and data for paper Li, Dan, Zhaochun Ren, and Evangelos Kanoulas. "CrowdGP: A Gaussian process model for inferring relevance from crowd annotations." Proceedings of the Web Conference 2021. 2021..

Data

Download the Crowdsourcing 2010 and Crowdsourcing 2011 data to reproduce the paper.

Citation

@inproceedings{10.1145/3442381.3450047,
author = {Li, Dan and Ren, Zhaochun and Kanoulas, Evangelos},
title = {CrowdGP: A Gaussian Process Model for Inferring Relevance from Crowd Annotations},
year = {2021},
isbn = {9781450383127},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
url = {https://doi.org/10.1145/3442381.3450047},
doi = {10.1145/3442381.3450047},
booktitle = {Proceedings of the Web Conference 2021},
pages = {1821–1832},
numpages = {12},
keywords = {Relevance label, Gaussian process, Crowdsourcing, Bayesian model},
location = {Ljubljana, Slovenia},
series = {WWW '21}
}

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