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Titlebook: Intelligent Information Processing XII; 13th IFIP TC 12 Inte Zhongzhi Shi,Jim Torresen,Shengxiang Yang Conference proceedings 2024 IFIP Int

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Conference proceedings 2024hine Learning; Natural Language Processing; Neural and Evolutionary Computing; Recommendation and Social Computing; Business Intelligence and Risk Control; and Pattern Recognition... ..Volume II: Image Understanding..
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1868-4238 ume I: Machine Learning; Natural Language Processing; Neural and Evolutionary Computing; Recommendation and Social Computing; Business Intelligence and Risk Control; and Pattern Recognition... ..Volume II: Image Understanding..978-3-031-57810-6978-3-031-57808-3Series ISSN 1868-4238 Series E-ISSN 1868-422X
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Bayesian Personalized Sorting Based on Time Factors and Hot Recommendations processing recommendation results, we establish BPR-TH for realizing personalized online (or offline) recommendation of digital library information. By Comparing with other two similar algorithms, the experimental results show that this model performs better.
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Entropy-Based Logic Explanations of Differentiable Decision Treeg the training process. After the training is completed, the parameters that have little impact on the output of the branch node will be blocked, thus significantly reducing the decision complexity of each branch node. Experiments in multiple environments demonstrate the significant interpretability advantage of our proposed approach.
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