Initialization matters : regularizing manifold-informed initialization for neural recommendation systems

• المؤلفون الرئيسيون: Zhang, Yinan, Li, Boyang, Liu, Yong, Wang, Hao, Miao, Chunyan
• مؤلفون آخرون: School of Computer Science and Engineering
• التنسيق: Conference or Workshop Item
• اللغة: English
• منشور في: 2021
• الموضوعات: Engineering::Computer science and engineering; Network Initialization; Recommender Systems
• الوصول للمادة أونلاين: https://hdl.handle.net/10356/153528

Proper initialization is crucial to the optimization and the generalization of neural networks. However, most existing neural recommendation systems initialize the user and item embeddings randomly. In this work, we propose a new initialization scheme for user and item embeddings called Laplacian E...