ir-dm-rs-paper-classification's Introduction

项目描述

本项目为USTC-LDS实验室推荐兴趣组成员论文分类分享，用以帮助研究者快速找到论文。

我们的分类标准重点关注组内几个研究方向，同时也是我们认为在一定时间节点比较具有研究意义的方向。

研究方向会随着时间变化，分类标准都会在下面按年展示。

2022

将重点关注推荐系统，包括以下几个方面：

Causality
Graph mining (跟图有关的都可以)
Debiasing、fairness、long-tail、ODD、domain adaption、鲁棒性、降噪（包括推荐和非推荐的都算）
交互式推荐、Bandit、强化学习
其他方面的推荐
搜索
模型可解释性
其他

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junkangwu / ir-dm-rs-paper-classification Goto Github PK