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Intent Disentanglement and Feature Self-Supervision for Novel Recommendation.

T. Qian, Y. Liang, Q. Li, X. Ma, K. Sun, и Z. Peng. IEEE Trans. Knowl. Data Eng., 35 (10): 9864-9877 (октября 2023)

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Yile Yang

Liang Liang

Liang-Liang Fu

Shu Chuan Liang

Dsin Dshin Liang

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Intent Disentanglement and Feature Self-supervision for Novel Recommendation.T. Qian, Y. Liang, Q. Li, X. Ma, K. Sun, и Z. Peng. CoRR, (2021)Enhancing Dynamic On-demand Food Order Dispatching via Future-informed and Spatial-temporal Extended Decisions.Y. Liang, D. Li, J. Zhao, X. Ding, H. Lian, J. Hao, и R. He. CIKM, стр. 4702-4708. ACM, (2023)Enhancing Graph Convolution Network for Novel Recommendation.X. Ma, T. Qian, Y. Liang, K. Sun, H. Yun, и M. Zhang. DASFAA (2), том 13246 из Lecture Notes in Computer Science, стр. 69-84. Springer, (2022)Align Reviews with Topics in Attention Network for Rating Prediction.Y. Liang, T. Qian, и H. Yu. DASFAA (3), том 11448 из Lecture Notes in Computer Science, стр. 249-253. Springer, (2019)AGTR: Adversarial Generation of Target Review for Rating Prediction.H. Yu, T. Qian, Y. Liang, и B. Liu. Data Sci. Eng., 5 (4): 346-359 (2020)RL4RS: A Real-World Dataset for Reinforcement Learning based Recommender System.K. Wang, Z. Zou, M. Zhao, Q. Deng, Y. Shang, Y. Liang, R. Wu, X. Shen, T. Lyu, и C. Fan. SIGIR, стр. 2935-2944. ACM, (2023)Investigating Accuracy-Novelty Performance for Graph-based Collaborative Filtering.M. Zhao, L. Wu, Y. Liang, L. Chen, J. Zhang, Q. Deng, K. Wang, X. Shen, T. Lv, и R. Wu. SIGIR, стр. 50-59. ACM, (2022)Harvesting Efficient On-Demand Order Pooling from Skilled Couriers: Enhancing Graph Representation Learning for Refining Real-time Many-to-One Assignments.Y. Liang, J. Zhao, D. Li, J. Feng, C. Zhang, X. Ding, J. Hao, и R. He. CoRR, (2024)ARTAN: Align reviews with topics in attention network for rating prediction.Y. Liang, T. Qian, и H. Yu. Neurocomputing, (2020)Enhancing Domain-Level and User-Level Adaptivity in Diversified Recommendation.Y. Liang, T. Qian, Q. Li, и H. Yin. SIGIR, стр. 747-756. ACM, (2021)

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