Learning Heterogeneous Knowledge Base Embeddings for Explainable Recommendation. Algorithms 11, 9 (2018), 137. [3] Hongwei Wang, Fuzheng Zhang, Jialin Wang, Miao Zhao, Wenjie Li, Xing Xie, and Minyi ...

Use DeepWalk to generate random walks over this graph; Based on these random walks, embed the graph in a low dimensional space using word2vec. The goal of this project is to evaluate and compare p ...

This paper focuses on the algorithm research of recommendation system based on Graph Neural Networks (GNNs), aiming to build a more accurate and personalized recommendation model by integrating ...

Current music recommendation systems rely heavily on traditional collaborative filtering techniques, focusing only on the user interaction and items, resulting in less relevant recommendations. In ...

Before Netflix got into the business of producing its own programming, it spent a lot of time emphasizing its recommendation software, the algorithms that would learn your taste and suggest the ...