IRGAN: A Minimax Game for Unifying Generative and Discriminative Information Retrieval Models.

Jun Wang|Peng Zhang|Rahul Mehta|Lantao Yu|Dell Zhang|Kavin R. V|Weinan Zhang|Yu Gong|Yinghui Xu|Benyou Wang|Peng Zhang|Rahul Mehta|Dell Zhang|Kavin R. V


Anthology ID:DBLP:conf/sigir/WangYZGXWZZ17
Volume:Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval, Shinjuku, Tokyo, Japan, August 7-11, 2017
Year:2017
Venue:Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)
Publisher:ACM
Pages:515-524
URL:https://doi.org/10.1145/3077136.3080786
DOI:https://doi.org/10.1145/3077136.3080786
DBLP:conf/sigir/WangYZGXWZZ17
BibTeX:
@inproceedings{wang-2017-irgan, author = {Jun Wang and Peng Zhang and Rahul Mehta and Lantao Yu and Dell Zhang and Kavin R. V and Weinan Zhang and Yu Gong and Yinghui Xu and Benyou Wang and Peng Zhang and Rahul Mehta and Dell Zhang and Kavin R. V}, editor = {Noriko Kando and Tetsuya Sakai and Hideo Joho and Hang Li and Arjen P. de Vries and Ryen W. White and Noriko Kando and Tetsuya Sakai}, title = {{IRGAN: A Minimax Game for Unifying Generative and Discriminative Information Retrieval Models}}, booktitle = {{Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval, Shinjuku, Tokyo, Japan, August 7-11, 2017}}, pages = {515--524}, publisher = {ACM}, year = {2017}, url = {https://doi.org/10.1145/3077136.3080786}, doi = {https://doi.org/10.1145/3077136.3080786} }