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

30 May 2017Jun WangLantao YuWeinan ZhangYu GongYinghui XuBenyou WangPeng ZhangDell Zhang

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... (read more)

PDF Abstract

Evaluation results from the paper


  Submit results from this paper to get state-of-the-art GitHub badges and help community compare results to other papers.