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嘿,记得给“ 机器学习与推荐算法 ”添加 星标 本文精选了上周 (0708-0714) 最新发布的 14 篇推荐系统相关论文,主要研究方向包括大模型推荐、多模态推荐、兴趣点推荐、对比图推荐、生成式推荐、检索增强的推荐、可解释图片推荐、序列对话推荐、金融资产推荐、推荐模型压缩、图神经网络推荐 等。 1. Language Models Encode Collaborative Signals in Recommendation 2. Towards Bridging the Cross-modal Semantic Gap for Multi-modal Recommendation 3. Beyond Check-in Counts: Redefining Popularity for POI Recommendation with Users and Recency 4. Consistency and Discrepancy-Based Contrastive Tripartite Graph Learning for Recommendations 5. Preference Distillation for Personalized Generative Recommendation 6. RAMO: Retrieval-Augmented Generation for Enhancing MOOCs Recommendations 7. Positive-Unlabelled Learning for Improving Image-based Recommender System Explainability 8. Me
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