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Exploiting high-order behaviour patterns for cross-domain sequential recommendation.

, , , , , , and . Connect. Sci., 34 (1): 2597-2614 (2022)

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Split Two-Tower Model for Efficient and Privacy-Preserving Cross-device Federated Recommendation., , , and . CoRR, (2022)A Novel Privacy-Preserved Recommender System Framework Based On Federated Learning., , and . ICSIM, page 82-88. ACM, (2021)Exploiting high-order behaviour patterns for cross-domain sequential recommendation., , , , , , and . Connect. Sci., 34 (1): 2597-2614 (2022)An Explainable Person-Job Fit Model Incorporating Structured Information., , , , , and . IEEE BigData, page 3571-3579. IEEE, (2021)Ranking-based Federated POI Recommendation with Geographic Effect., , , , , and . IJCNN, page 1-8. IEEE, (2022)A split-federated learning and edge-cloud based efficient and privacy-preserving large-scale item recommendation model., , , and . J. Cloud Comput., 12 (1): 57 (December 2023)Sequential POI Recommend Based on Personalized Federated Learning., , , , and . Neural Process. Lett., 55 (6): 7351-7368 (December 2023)Revisiting Data Poisoning Attacks on Deep Learning Based Recommender Systems., , , , , , and . ISCC, page 1261-1267. IEEE, (2023)A Novel Privacy-Preserved Recommender System Framework based on Federated Learning., and . CoRR, (2020)FedNCF: Federated Neural Collaborative Filtering for Privacy-preserving Recommender System., , , , and . IJCNN, page 1-8. IEEE, (2022)