论文周报 | 推荐系统领域最新研究进展，含SIGIR, KDD, ACL等顶会论文

嘿，记得给“机器学习与推荐算法”添加星标本文精选了上周（0717-0723）最新发布的15篇推荐系统相关论文，主要研究方向包括基于大语言模型的推荐系统、推荐中的公平性问题、对话推荐、多语言多区域购物推荐数据集、推荐中的架构搜索、多行为推荐等。1. Enhancing Job Recommendation through LLM-based Generative Adversarial  Networks2. Language-Enhanced Session-Based Recommendation with Decoupled  Contrastive Learning3. TREA: Tree-Structure Reasoning Schema for Conversational Recommendation, ACL20234. Evaluating and Enhancing Robustness of Deep Recommendation Systems  Against Hardware Errors5. Impatient Bandits: Optimizing Recommendations for the Long-Term Without Delay, KDD20236. Amazon-M2: A Multilingual Multi-locale Shopping Session Dataset for  Recommendation and Text Generation, KDDCup20237. Measuring Item Global Residual Value for Fair Recommendation, SIGIR20238. Leveraging Recommender Sys ………………………………