Der erste Algorithmus der GANs für Recommendations im Bereich des Information Retrievals genutzt hat. Dieser diente als Inspiration für viele folgende Adaptionen.
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%0 Conference Paper
%1 Wang_2017
%A Wang, Jun
%A Yu, Lantao
%A Zhang, Weinan
%A Gong, Yu
%A Xu, Yinghui
%A Wang, Benyou
%A Zhang, Peng
%A Zhang, Dell
%B Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval
%D 2017
%I ACM
%K
%R 10.1145/3077136.3080786
%T IRGAN: A Minimax Game for Unifying Generative and Discriminative Information Retrieval Models
%U https://doi.org/10.1145%2F3077136.3080786
@inproceedings{Wang_2017,
added-at = {2021-06-21T11:27:25.000+0200},
author = {Wang, Jun and Yu, Lantao and Zhang, Weinan and Gong, Yu and Xu, Yinghui and Wang, Benyou and Zhang, Peng and Zhang, Dell},
biburl = {https://www.bibsonomy.org/bibtex/25997f912dbcbc359754ee8e3971c4aa4/simon_schubert},
booktitle = {Proceedings of the 40th International {ACM} {SIGIR} Conference on Research and Development in Information Retrieval},
doi = {10.1145/3077136.3080786},
interhash = {8298de75c5ab429ebc2f172a92ad8a06},
intrahash = {5997f912dbcbc359754ee8e3971c4aa4},
keywords = {},
month = aug,
publisher = {{ACM}},
timestamp = {2021-06-21T11:27:25.000+0200},
title = {IRGAN: A Minimax Game for Unifying Generative and Discriminative Information Retrieval Models},
url = {https://doi.org/10.1145%2F3077136.3080786},
year = 2017
}