WebApr 10, 2024 · IRGAN的作者做了一种尝试,就是将两种流派思想分别对应到GAN模型学习的生成器与判别器上,试图相互补充。 毕竟是17年Sigir满分论文,还是满怀期待的读了好几遍,也相应的做了一些实验探索,后面将介绍一下对于笔者对于原理的理解以及实践心得。 二:原理 首先关于GAN本身的原理,大致如下面的框图。 下面重点讲下IRGAN的思想。 论 … WebMay 30, 2024 · IRGAN: A Minimax Game for Unifying Generative and Discriminative Information Retrieval Models Jun Wang, Lantao Yu, +5 authors Dell Zhang Published 30 May 2024 Computer Science Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval
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WebJan 2, 2024 · IRGAN: A Minimax Game for Unifying Generative and Discriminative Information Retrieval Models 在现代信息检索领域一直是两大学派之争的局面。 一方面,经典思维流派是假设在文档和信息需求(由查询可知)之间存在着一个 独立的随机生成 过程。 另一方面,现代思维流派则充分利用机器学习的优势,将文档和搜索词联合考虑为特征, … WebIRGAN: A Minimax Game for Unifying Generative and Discriminative Information Retrieval Models (SIGIR’17) Top-K Off-Policy Correction for a REINFORCE Recommender System (WSDM’19) Off-policy Learning in Two-stage Recommender Systems (WWW’20) Reinforcement Recommendation with User Multi-aspect Preference (WWW’21) incook
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WebIRGAN. This repository hosts the experimental code for SIGIR 2024 paper "IRGAN: A Minimax Game for Unifying Generative and Discriminative Information Retrieval Models". More detailed instructions will be provided soon. For any questions, you can report issue here. IRGAN SIGIR paper experimental code. Contribute to geek-ai/irgan development … IRGAN SIGIR paper experimental code. Contribute to geek-ai/irgan development … GitHub is where people build software. More than 83 million people use GitHub … Web本文主要介绍发表在SIGIR 2024上的论文 IRGAN: A Minimax Game for Unifying Generative and Discriminative Information Retrieval Models ,文章首次将在CV领域中大火的GAN引入到信息检索,在信息检索和推荐领域中可以说是很有名的,也是当年SIGRI的满分论文。 信息检索的任务是给定一个query,返回一个排好序的list,list包含文档或者item,在文本检索、 … WebarXiv.org e-Print archive inconvénients flex office