Grapevine：一种基于多维聚类的葡萄酒预测算法
Grapevine: A Wine Prediction Algorithm Using Multi-dimensional Clustering Methods
Stanford University（斯坦福大学）
摘要：
我们提出了一种方法，采用多维聚类和无监督学习方法的葡萄酒推荐系统。我们的算法首先对一个大型的葡萄酒评论语料库进行聚类。然后，它使用产生的葡萄酒集群作为最常见口味的近似值，通过优化用户偏好的集群内的价格质量比来向用户推荐葡萄酒。
英文摘要：
We present a method for a wine recommendation system that employs multidimensional clustering and unsupervised learning methods. Our algorithm first performs clustering on a large corpus of wine reviews. It then uses the resulting wine clusters as an approximation of the most common flavor palates, recommending a user a wine by optimizing over a price-quality ratio within clusters that they demonstrated a preference for.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
