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

@inproceedings{Wang2017IRGANAM,
  title={IRGAN: A Minimax Game for Unifying Generative and Discriminative Information Retrieval Models},
  author={Jun Wang and Lantao Yu and Weinan Zhang and Yu Gong and Yinghui Xu and Benyou Wang and Peng Zhang and Dell Zhang},
  booktitle={SIGIR},
  year={2017}
}
This paper provides a unified account of two schools of thinking in information retrieval modelling: the generative retrieval focusing on predicting relevant documents given a query, and the discriminative retrieval focusing on predicting relevancy given a query-document pair. We propose a game theoretical minimax game to iteratively optimise both models. On one hand, the discriminative model, aiming to mine signals from labelled and unlabelled data, provides guidance to train the generative… CONTINUE READING
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