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Boolean kernels for collaborative filtering in top-N item recommendation., and . Neurocomputing, (2018)Interpretable preference learning: a game theoretic framework for large margin on-line feature and rule learning., and . CoRR, (2018)Tag-Based User Profiling: A Game Theoretic Approach., , and . UMAP (Adjunct Publication), page 267-271. ACM, (2019)Radius-Margin Ratio Optimization for Dot-Product Boolean Kernel Learning., , and . ICANN (2), volume 10614 of Lecture Notes in Computer Science, page 183-191. Springer, (2017)Dissociation Between Users' Explicit and Implicit Attitudes Toward Artificial Intelligence: An Experimental Study., , , , and . IEEE Trans. Hum. Mach. Syst., 52 (3): 481-489 (2022)A Novel Boolean Kernels Family for Categorical Data., , and . Entropy, 20 (6): 444 (2018)Recency Aware Collaborative Filtering for Next Basket Recommendation., , and . UMAP, page 80-87. ACM, (2020)Boosting the Federation: Cross-Silo Federated Learning without Gradient Descent., , and . IJCNN, page 1-10. IEEE, (2022)PRL: A game theoretic large margin method for interpretable feature learning., , and . Neurocomputing, (2022)Efficient Similarity Based Methods For The Playlist Continuation Task., , and . RecSys Challenge, page 15:1-15:6. ACM, (2018)