听觉
发表于 2025-3-23 13:12:26
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cornucopia
发表于 2025-3-23 15:38:55
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cocoon
发表于 2025-3-23 19:04:30
Logic Preference Fusion Reasoning on Recommendationtract user preferences from interaction records, they frequently neglect the user’s logical requirements, which are embedded in the logical relations between items and entities. Existing methods that account for user’s logical requirements employ neural networks to mimic logical operators, failing t
丛林
发表于 2025-3-24 00:11:24
Logic Preference Fusion Reasoning on Recommendationtract user preferences from interaction records, they frequently neglect the user’s logical requirements, which are embedded in the logical relations between items and entities. Existing methods that account for user’s logical requirements employ neural networks to mimic logical operators, failing t
Ointment
发表于 2025-3-24 06:26:48
MHGNN: Hybrid Graph Neural Network with Mixers for Multi-interest Session-Aware Recommendationevements of existing methods, they still have drawbacks in some aspects. Firstly, most existing methods only consider transition relationships between items within the current user’s sessions, while neglecting the valuable item transition patterns from other users and the useful preferences from sim
一起
发表于 2025-3-24 07:39:12
MHGNN: Hybrid Graph Neural Network with Mixers for Multi-interest Session-Aware Recommendationevements of existing methods, they still have drawbacks in some aspects. Firstly, most existing methods only consider transition relationships between items within the current user’s sessions, while neglecting the valuable item transition patterns from other users and the useful preferences from sim
苦涩
发表于 2025-3-24 12:51:27
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Charlatan
发表于 2025-3-24 15:23:47
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要控制
发表于 2025-3-24 20:39:48
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安心地散步
发表于 2025-3-25 00:04:57
Noise-Resistant Graph Neural Networks for Session-Based Recommendationclick of a user based on a short anonymous interaction sequence. Previous works have focused on users’ long-term and short-term preferences, ignoring the noise problem in session sequences. However, session data is inevitably noisy, as it may contain incorrect clicks that are inconsistent with the u