Neural networks : the official journal of the International Neural Network Society
Conjunctive query embedding-based few-shot item recommendation.
Jeonghoon Kim, Dongwon Jung, Hogun Park
Published: 202510.1016/j.neunet.2025.108342
Abstract
The user cold-start problem is a major challenge in item recommendation. Existing methods address this issue by utilizing additional user and item features or relying mainly on meta-learning (Few-shot learning). However, these approaches often requir…
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