Titlebook: Advances in Knowledge Discovery and Data Mining; 24th Pacific-Asia Co Hady W. Lauw,Raymond Chi-Wing Wong,Sinno Jialin Pa Conference proceed

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Matthew Brown MD,Kevin C. Chung MD, MScommendation is highly context-dependent: (1) geographical influence, e.g., users prefer to visit POIs that are not far away; (2) time-sensitivity, e.g., restaurants are preferred in dinner time; (3) dependency in a user’s check-in sequence, e.g., POIs planned in a trip. Yet, existing methods either

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Matthew Brown MD,Kevin C. Chung MD, MSave been proposed to achieve low-order and high-order feature interactions. However, most of them ignore the importance of cross features and fail to suppress the negative impact of useless features. In this paper, a novel multi-scale feature-crossing attention network (MsFcNET) is proposed to extra

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William W. Huang,Christine S. Ahnhich has become increasingly popular in academic research and practical applications. Short-term transition dependencies contain the information of partial item orders, while long-term transition dependencies infer long-range user preference, the two dependencies are mutually restrictive and complem

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Clinical Manual of Fever in Childrenining dataset, but are out of work when the classes are not in the training dataset. Zero-shot learning aims at solving this problem. In this paper, we propose a novel model termed .ulti-.ayer .ross .oss .odel (MLCLM). Our model has two novel ideas: (1) In the model, we design a multi-nonlinear laye

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