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Intent Disentanglement and Feature Self-supervision for Novel Recommendation

  • Published:2022 Issue: Volume: Page:1-1
  • ISSN:1041-4347
  • Container-title:IEEE Transactions on Knowledge and Data Engineering
  • language:
  • Short-container-title:IEEE Trans. Knowl. Data Eng.

Author:

Qian Tieyun1,Liang Yile2,Li Qing3,Ma Xuan4,Sun Ke4,Peng Zhiyong4

Affiliation:

1. School of Computer Science, Wuhan University, Wuhan, HuBei, China, 430072

2. School of Computer Science, Wuhan University, 12390 Wuhan, Hubei, China

3. Hong Kong Polytechnic University, Hong Kong

4. School of Computer Science, Wuhan University, Wuhan, HuBei, China

Funder

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computational Theory and Mathematics,Computer Science Applications,Information Systems

Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Multi-criteria Health Science Short Video Recommendation Inspired by Heuristic Optimization;Lecture Notes in Business Information Processing;2024

2. Disentangled Graph Social Recommendation;2023 IEEE 39th International Conference on Data Engineering (ICDE);2023-04

3. Mitigating Spurious Correlations for Self-supervised Recommendation;Machine Intelligence Research;2023-01-14

4. FIRE: knowledge-enhanced recommendation with feature interaction and intent-aware attention networks;Applied Intelligence;2022-12-07

5. Causal Disentanglement with Network Information for Debiased Recommendations;Similarity Search and Applications;2022
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