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Knowledge-based Multiple Adaptive Spaces Fusion for Recommendation

, , , , and . Proceedings of the 17th ACM Conference on Recommender Systems, ACM, (September 2023)
DOI: 10.1145/3604915.3608787

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Integrating Heterogeneous Information via Flexible Regularization Framework for Recommendation., , , , and . CoRR, (2015)Improving Transfer Learning by Introspective Reasoner., , and . Intelligent Information Processing, volume 385 of IFIP Advances in Information and Communication Technology, page 28-39. Springer, (2012)Expenditure Aware Rating Prediction for Recommendation., , , , and . CoRR, (2016)Tag correlation and user social relation based microblog recommendation., , , and . IJCNN, page 2424-2430. IEEE, (2016)Neural variational collaborative filtering with side information for top-K recommendation., , and . Int. J. Machine Learning & Cybernetics, 10 (11): 3273-3284 (2019)Who will Win the Data Science Competition? Insights from KDD Cup 2019 and Beyond., , , , , , and . ACM Trans. Knowl. Discov. Data, 16 (5): 98:1-98:24 (2022)Characterizing and Forecasting Urban Vibrancy Evolution: A Multi-View Graph Mining Perspective., , , , , , and . ACM Trans. Knowl. Discov. Data, 17 (5): 68:1-68:24 (June 2023)A Survey on Knowledge Graph-Based Recommender Systems., , , , , , and . CoRR, (2020)DPR: An Algorithm Mitigate Bias Accumulation in Recommendation feedback loops., , , , and . CoRR, (2023)Effectively Modeling Sentence Interactions With Factorization Machines for Fact Verification., , , , , and . IEEE Intell. Syst., 38 (5): 18-27 (September 2023)