4 citations · 4 across the 6 of their papers we have counts for
6 papers
AesRec: A Dataset for Aesthetics-Aligned Clothing Outfit Recommendation
Wenxin Ye, Lin Li, Ming Li +3
Clothing recommendation extends beyond merely generating personalized outfits; it serves as a crucial medium for aesthetic guidance. However, existing methods predominantly rely on…
Learning to Fast Unrank in Collaborative Filtering Recommendation
Junpeng Zhao, Lin Li, Ming Li +2
Modern data-driven recommendation systems risk memorizing sensitive user behavioral patterns, raising privacy concerns. Existing recommendation unlearning methods, while capable of…
Modeling Item-Level Dynamic Variability with Residual Diffusion for Bundle Recommendation
Dong Zhang, Lin Li, Ming Li +4
Existing solutions for bundle recommendation (BR) have achieved remarkable effectiveness for predicting the user's preference for prebuilt bundles. However, bundle-item (B-I) affil…
A Survey on Bundle Recommendation: Methods, Applications, and Challenges
Meng Sun, Lin Li, Ming Li +5
In recent years, bundle recommendation systems have gained significant attention in both academia and industry due to their ability to enhance user experience and increase sales by…
MealRec: A Meal Recommendation Dataset with Meal-Course Affiliation for Personalization and Healthiness
Ming Li, Lin Li, Xiaohui Tao +1
Meal recommendation, as a typical health-related recommendation task, contains complex relationships between users, courses, and meals. Among them, meal-course affiliation associat…
MealRec: A Meal Recommendation Dataset
Ming Li, Lin Li, Qing Xie +2
Bundle recommendation systems aim to recommend a bundle of items for a user to consider as a whole. They have become a norm in modern life and have been applied to many real-world…