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Tianjun Wei
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2020 – today
- 2024
- [j4]Tianjun Wei, Tommy W. S. Chow, Jianghong Ma:
FPSR+: Toward Robust, Efficient, and Scalable Collaborative Filtering With Partition-Aware Item Similarity Modeling. IEEE Trans. Knowl. Data Eng. 36(12): 8283-8296 (2024) - 2023
- [j3]Tianjun Wei, Tommy W. S. Chow:
FGCR: Fused graph context-aware recommender system. Knowl. Based Syst. 277: 110806 (2023) - [j2]Tianjun Wei, Tommy W. S. Chow, Jianghong Ma, Mingbo Zhao:
ExpGCN: Review-aware Graph Convolution Network for explainable recommendation. Neural Networks 157: 202-215 (2023) - [j1]Tianjun Wei, Tommy W. S. Chow, Jianghong Ma:
Modeling Self-Representation Label Correlations for Textual Aspects and Emojis Recommendation. IEEE Trans. Neural Networks Learn. Syst. 34(12): 10762-10774 (2023) - [c2]Tianjun Wei, Jianghong Ma, Tommy W. S. Chow:
Collaborative Residual Metric Learning. SIGIR 2023: 1107-1116 - [c1]Tianjun Wei, Jianghong Ma, Tommy W. S. Chow:
Fine-tuning Partition-aware Item Similarities for Efficient and Scalable Recommendation. WWW 2023: 823-832 - [d1]Tianjun Wei, Jianghong Ma, Tommy W. S. Chow:
FPSR Implementation. Zenodo, 2023 - [i2]Tianjun Wei, Jianghong Ma, Tommy W. S. Chow:
Collaborative Residual Metric Learning. CoRR abs/2304.07971 (2023) - 2022
- [i1]Tianjun Wei, Jianghong Ma, Tommy W. S. Chow:
Efficient and Scalable Recommendation via Item-Item Graph Partitioning. CoRR abs/2207.05959 (2022)
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