arbovirus
发表于 2025-3-26 21:30:32
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Certainty
发表于 2025-3-27 01:32:22
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MEN
发表于 2025-3-27 07:11:01
Shoujian Yu,Zhongming Han,Jiajin Le data severely impedes the further improvement of POI recommendation. Existing works jointly analyse user check-in behaviors (i.e., positive samples) and POI distribution to tackle this issue. However, introducing user multi-modal behaviors (e.g., online map query behaviors), as a supplement of user
Armada
发表于 2025-3-27 10:56:03
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混合
发表于 2025-3-27 17:18:37
Jan L. G. Dietz,Nathalie Habingted to recognize that in practice user interaction sequences exhibit multiple user intentions. However, they still suffer from two major limitations: (1) negligence of the dynamic evolution of individual intentions; (2) improper aggregation of multiple intentions. In this paper we propose a novel .u
碳水化合物
发表于 2025-3-27 21:05:28
Stefanie Rinderle,Manfred Reichert,Peter Dadamr, these methods tend to be a black box that cant not provide any explanation for users. To obtain the trust of users and improve the transparency, recent research starts to focus on the explanation of recommendations. Explainable Bayesian Personalized Ranking (EBPR) leverages the relevant item to p
留恋
发表于 2025-3-27 23:07:59
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索赔
发表于 2025-3-28 02:32:41
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幻影
发表于 2025-3-28 08:34:58
Jean Ferrié,Nicolas Vidot,Michelle Cart data severely impedes the further improvement of POI recommendation. Existing works jointly analyse user check-in behaviors (i.e., positive samples) and POI distribution to tackle this issue. However, introducing user multi-modal behaviors (e.g., online map query behaviors), as a supplement of user
良心
发表于 2025-3-28 10:44:28
Cécile Le Pape,Stéphane Gançarski,Patrick Valduriezations. However, in many scenarios, there are a large number of cold-start users with limited user-item interactions. To address this challenge, some studies utilize auxiliary information to infer users’ interests. But with the increasing awareness of personal privacy protection, it is difficult to