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Exploiting sparsity to build efficient kernel based collaborative filtering for top-N item recommendation., and . Neurocomputing, (2017)Disjunctive Boolean Kernels for Collaborative Filtering in Top-N Recommendation., and . CoRR, (2016)A Survey on Hypergraph Representation Learning, , , , , and . ACM Comput. Surv., (August 2023)Learning Preferences for Large Scale Multi-label Problems., , , , and . ICANN (1), volume 11139 of Lecture Notes in Computer Science, page 546-555. Springer, (2018)Learning deep kernels in the space of monotone conjunctive polynomials., , and . Pattern Recognit. Lett., (2020)Privacy-Preserving Kernel Computation For Vertically Partitioned Data., , and . ESANN, (2021)Disjunctive Boolean Kernels-based Collaborative Filtering for top-N Item Recommendation., and . IIR, volume 1911 of CEUR Workshop Proceedings, page 97-100. CEUR-WS.org, (2017)Interpretable Preference Learning: A Game Theoretic Framework for Large Margin On-Line Feature and Rule Learning., and . AAAI, page 4723-4730. AAAI Press, (2019)Novel Applications for VAE-based Anomaly Detection Systems., , , and . IJCNN, page 1-8. IEEE, (2022)PRL: A game theoretic large margin method for interpretable feature learning., , and . Neurocomputing, (2022)