paper review : Multimodal data fusion framework based on autoencoders for top-N recommender systems

時間 2020-12-29

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文章目錄 Multimodal data fusion framework based on autoencoders for top-N recommender systems Summary Research Objective Background and Problems Related work Method(s) Evaluation Conclusion Reference(opti

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1. Paper Reading:Wide & Deep Learning for Recommender Systems
2. Learning Tree-based DeepModel for Recommender Systems
3. Paper reading (三十)：A review on machine learning principles for multi-view biological data integratio
4. 《Hybrid Recommender System based on Autoencoders》理解
5. paper review : Disjoint Mapping Network for Cross-modal Matching of Voices and Faces
6. A Survey of Recommender Systems Based on Deep Learning （1）
7. #Paper Reading# RippleNet: Propagating User Preferences on the KG for Recommender Systems
8. #Paper Reading# Wide & Deep Learning for Recommender Systems
9. Paper Notes: A Comprehensive Survey on Graph Neural Networks
10. 推薦系統綜述：A review on deep learning for recommender systems: challenges and remedies

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