Improving collaborative filtering with self-supervised GCNS and autoencoder base multimodal embeddings

• Main Author: Truong, Vinh Khai
• Other Authors: Luo Siqiang
• Format: Final Year Project
• Language: English
• Published: Nanyang Technological University 2024
• Subjects: Computer and Information Science; Self-supervised GCN; Recommender system; Contrastive learning; Autoencoder; Multi-modal
• Online Access: https://hdl.handle.net/10356/180714
• Institution: Nanyang Technological University

Recommender systems play a crucial role in enhancing user experience by delivering personalized suggestions across diverse domains. Effective representation learning is vital in these systems, as high-quality embeddings are key to accurate recommendations, as evidenced by various studies. However, c...