Pre-training graph transformer with multimodal side information for recommendation

• Main Authors: Liu, Yong, Yang, Susen, Lei, Chenyi, Wang, Guoxin, Tang, Haihong, Zhang, Juyong, Sun, Aixin, Miao, Chunyan
• Other Authors: School of Computer Science and Engineering
• Format: Conference or Workshop Item
• Language: English
• Published: 2022
• Subjects: Engineering::Computer science and engineering; Recommendation Systems; Pre-Training Mode
• Online Access: https://hdl.handle.net/10356/156088
• Institution: Nanyang Technological University

Side information of items, e.g., images and text description, has shown to be effective in contributing to accurate recommendations. Inspired by the recent success of pre-training models on natural language and images, we propose a pre-training strategy to learn item representations by considering b...