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SMONE: A Session-based Recommendation Model Based on Neighbor Sessions with Similar Probabilistic Intentions.

, , , , , , , and . ACM Trans. Knowl. Discov. Data, 17 (8): 111:1-111:22 (2023)

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SMONE: A Session-based Recommendation Model Based on Neighbor Sessions with Similar Probabilistic Intentions., , , , , , , and . ACM Trans. Knowl. Discov. Data, 17 (8): 111:1-111:22 (2023)GFlow-FT: Pick a Child Network via Gradient Flow for Efficient Fine-Tuning in Recommendation Systems., , , , , , , and . CIKM, page 3918-3922. ACM, (2022)GDOD: Effective Gradient Descent using Orthogonal Decomposition for Multi-Task Learning., , , , , , , , and . CoRR, (2023)A Non-sequential Approach to Deep User Interest Model for CTR Prediction., , , and . SDM, page 531-539. SIAM, (2022)Mixture of Graph Enhanced Expert Networks for Multi-task Recommendation., , , , , , , , and . PRICAI (3), volume 13631 of Lecture Notes in Computer Science, page 3-16. Springer, (2022)A Hierarchical User Behavior Modeling Framework for Cross-Domain Click-Through Rate Prediction., , , and . CIKM, page 4163-4167. ACM, (2022)A Non-sequential Approach to Deep User Interest Model for Click-Through Rate Prediction., , , and . CoRR, (2021)Accelerating Model Solving for Integrated Optimization of Timetabling and Vehicle Scheduling based on Graph Convolutional Network., , , , and . ITSC, page 880-886. IEEE, (2023)Learning to Select Instance: Simultaneous Transfer Learning and Clustering., , , , , , , , , and . SIGIR, page 1950-1954. ACM, (2021)Multi-interest Sequence Modeling for Recommendation with Causal Embedding., , , , , , , and . SDM, page 406-414. SIAM, (2022)