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20222026
most citedWhat is Next when Sequential Prediction Meets Implicitly Hard Interaction?

22 citations · 65 across the 22 of their papers we have counts for

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7 papers · 1 filter

cs.IR2025

HiFIRec Towards High-Frequency yet Low-Intention Behaviors for Multi-Behavior Recommendation

Ruiqi Luo, Ran Jin, Kaixi Hu +2

Multi behavior recommendation leverages multiple types of user-item interactions to address data sparsity and cold-start issues,providing personalized services in domains such as h…

cs.IR2025

A Node-Aware Dynamic Quantization Approach for Graph Collaborative Filtering

Lin Li, Chunyang Li, Yu Yin +2

In the realm of collaborative filtering recommendation systems, Graph Neural Networks (GNNs) have demonstrated remarkable performance but face significant challenges in deployment…

cs.IR2025

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…

cs.IR2024

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…

cs.IR2024

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…

cs.IR2024

Persona-centric Metamorphic Relation guided Robustness Evaluation for Multi-turn Dialogue Modelling

Yanbing Chen, Lin Li, Xiaohui Tao +1

Recently there has been significant progress in the field of dialogue system thanks to the introduction of training paradigms such as fine-tune and prompt learning. Persona can fun…

cs.IR2022★ 4 cited

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…