Memory bank augmented long-tail sequential recommendation

• Main Authors: Hu, Yidan, Liu, Yong, Miao, Chunyan, Miao, Yuan
• Other Authors: School of Computer Science and Engineering
• Format: Conference or Workshop Item
• Language: English
• Published: 2023
• Subjects: Engineering::Computer science and engineering; Sequential Recommendation; Memory Bank
• Online Access: https://hdl.handle.net/10356/164144
• Institution: Nanyang Technological University

The goal of sequential recommendation is to predict the next item that a user would like to interact with, by capturing her dynamic historical behaviors. However, most existing sequential recommendation methods do not focus on solving the long-tail item recommendation problem that is caused by the i...