Fracture
发表于 2025-4-2 22:42:41
Distribution-Aware Diversification for Personalized Re-ranking in Recommendationthe number of categories in the list while making the distribution of categories more balanced and personalized than traditional re-ranking methods. We conduct experiments on two public datasets and one private dataset, the results demonstrate that our proposed method effectively improves the recomm
PACK
发表于 2025-4-3 00:13:20
Distribution-Aware Diversification for Personalized Re-ranking in Recommendationthe number of categories in the list while making the distribution of categories more balanced and personalized than traditional re-ranking methods. We conduct experiments on two public datasets and one private dataset, the results demonstrate that our proposed method effectively improves the recomm
anus928
发表于 2025-4-3 06:08:37
KMIC: A Knowledge-Aware Recommendation with Multivariate Intentions Contrastive Learningely models the multivariate intent as attentive learning of interaction relations, which encourages the personalization awareness of different intents for better model capability. Besides, we design a multi-intents contrastive learning module (MCLM), which mines comprehensive intention information a
LEERY
发表于 2025-4-3 09:51:54
KMIC: A Knowledge-Aware Recommendation with Multivariate Intentions Contrastive Learningely models the multivariate intent as attentive learning of interaction relations, which encourages the personalization awareness of different intents for better model capability. Besides, we design a multi-intents contrastive learning module (MCLM), which mines comprehensive intention information a
locus-ceruleus
发表于 2025-4-3 13:34:40
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