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Recommending Courses in MOOCs for Jobs An Auto Weak Supervision Approach

, , , , and . Proceedings of European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, (2020)

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Self-supervised graph learning for occasional group recommendation., , , and . Int. J. Intell. Syst., 37 (12): 10880-10902 (December 2022)Self-supervised Graph Learning for Occasional Group Recommendation., , , , and . CoRR, (2021)Motif-based Prompt Learning for Universal Cross-domain Recommendation., , , , and . WSDM, page 257-265. ACM, (2024)Hierarchical Reinforcement Learning for Course Recommendation in MOOCs., , , , , and . AAAI, page 435-442. AAAI Press, (2019)Pre-Training Graph Neural Networks for Cold-Start Users and Items Representation., , , , and . CoRR, (2020)Pre-Training Graph Neural Networks for Cold-Start Users and Items Representation., , , , and . WSDM, page 265-273. ACM, (2021)A Multi-strategy-based Pre-training Method for Cold-start Recommendation., , , , and . ACM Trans. Inf. Syst., 41 (2): 31:1-31:24 (April 2023)Motif-Based Prompt Learning for Universal Cross-Domain Recommendation., , , , and . CoRR, (2023)Recommending Courses in MOOCs for Jobs: An Auto Weak Supervision Approach., , , , and . ECML/PKDD (4), volume 12460 of Lecture Notes in Computer Science, page 36-51. Springer, (2020)Few-Shot Representation Learning for Cold-Start Users and Items., , , and . APWeb/WAIM (1), volume 12317 of Lecture Notes in Computer Science, page 363-377. Springer, (2020)