To sum up, the proposed method can learn more effective embeddings based on the users' interests for multiple clustering tasks. 5. Conclusion To conclude, our study thoroughly investigates the signif- icant challenges that current advanced deep learning tech- niques face...
2.2. Deep Metric Learning The current mainstream metric learning research is divided into pair-based and proxy-based metric learning methods. 2.2.1. Pair-Based Deep Metric Learning Contrastive loss [47] is an earlier pair-based metric learning method, which requires similar sample pairs to be clo...
2.2. Deep Metric Learning The current mainstream metric learning research is divided into pair-based and proxy-based metric learning methods. 2.2.1. Pair-Based Deep Metric Learning Contrastive loss [47] is an earlier pair-based metric learning method, which requires similar sample pairs to be clo...