论文阅读：Collaborative Knowledge Base Embedding for Recommender Systems
1. Motivation 稀疏性问题是推荐系统必须要面临的一个挑战，把side-information包含进基于MF的方法是一个很好的方式。但是物品的属性是一种结构化的数据，用简单的MLP并不能学习到它们之间的关联，从而无法全面的刻画一个物品。本文提出基于知识图谱的embedding来刻画物品的显式信息，这种是从图结构中学到的关联，能够比较充分地学习到物品的表达。本文关于物品的表达有三个部分，另
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