Learning binary codes with neural collaborative filtering for efficient recommendation systems

• Main Authors: Li, Yang, Wang, Suhang, Pan, Quan, Peng, Haiyun, Yang, Tao, Cambria, Erik
• Other Authors: School of Computer Science and Engineering
• Format: Article
• Language: English
• Published: 2021
• Subjects: Engineering::Computer science and engineering; Recommendation Systems; Binary Code Learning
• Online Access: https://hdl.handle.net/10356/151678
• Institution: Nanyang Technological University

The fast-growing e-commerce scenario brings new challenges to traditional collaborative filtering because the huge amount of users and items requires large storage and efficient recommendation systems. Hence, hashing for collaborative filtering has attracted increasing attention as binary codes can...