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cs.IR2025
Compositions of Variant Experts for Integrating Short-Term and Long-Term Preferences
Jaime Hieu Do, Trung-Hoang Le, Hady W. Lauw
In the online digital realm, recommendation systems are ubiquitous and play a crucial role in enhancing user experience. These systems leverage user preferences to provide personal…
cs.IR2025
A Contrastive Framework with User, Item and Review Alignment for Recommendation
Hoang V. Dong, Yuan Fang, Hady W. Lauw
Learning effective latent representations for users and items is the cornerstone of recommender systems. Traditional approaches rely on user-item interaction data to map users and…