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Adversarial Training Towards Robust Multimedia Recommender System

  • Published:2020-05-01 Issue:5 Volume:32 Page:855-867
  • ISSN:1041-4347
  • Container-title:IEEE Transactions on Knowledge and Data Engineering
  • language:
  • Short-container-title:IEEE Trans. Knowl. Data Eng.

Author:

Tang JinhuiORCID,Du XiaoyuORCID,He XiangnanORCID,Yuan Fajie,Tian QiORCID,Chua Tat-SengORCID

Funder

National Basic Research Program of China

National Natural Science Foundation of China

Linksure Network Holding Pte Ltd and the Asia Big Data Association

Natural Science Foundation of Jiangsu Province

National Research Foundation

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computational Theory and Mathematics,Computer Science Applications,Information Systems

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2. FINEST: Stabilizing Recommendations by Rank-Preserving Fine-Tuning;ACM Transactions on Knowledge Discovery from Data;2024-09-09

3. Natural Language Explainable Recommendation with Robustness Enhancement;Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining;2024-08-24

4. Adversarial Item Promotion on Visually-Aware Recommender Systems by Guided Diffusion;ACM Transactions on Information Systems;2024-08-19

5. A multisensory Interaction Framework for Human-Cyber–Physical System based on Graph Convolutional Networks;Advanced Engineering Informatics;2024-08
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