Titlebook: Web and Big Data; 8th International Jo Wenjie Zhang,Anthony Tung,Hongjie Guo Conference proceedings 2024 The Editor(s) (if applicable) and

Fracture

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

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

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

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