Cross-domain recommendation based on meta-networks and attention transfer

• Published in: 2024 4th International Conference on Neural Networks, Information and Communication (NNICE) pp. 5 - 9
• Main Authors: Xia, Xue, Liu, Qicheng
• Format: Conference Proceeding
• Language: English
• Published: IEEE 19.01.2024
• Subjects: Artificial neural networks; Benchmark testing; Cross-domain recommendation; Data mining; Data models; Measurement; Meta-network; Multi-headed Attention mechanisms; Prediction algorithms; Sparse matrices
• DOI: 10.1109/NNICE61279.2024.10498172

Although cross-domain recommendation systems play a crucial role in solving the data sparseness and cold start challenges in recommendation systems, current algorithms primarily rely on the user-item rating matrix for user feature modeling, leading to sparse data. Furthermore, existing cross-domain...