5 papers
RecBundle: A Next-Generation Geometric Paradigm for Explainable Recommender Systems
Hui Wang, Tianzhu Hu, Mingming Li +6
Recommender systems are inherently dynamic feedback loops where prolonged local interactions accumulate into macroscopic structural degradation such as information cocoons. Existin…
A Cognitive Distribution and Behavior-Consistent Framework for Black-Box Attacks on Recommender Systems
Hongyue Zhang, Mingming Li, Dongqin Liu +6
With the growing deployment of sequential recommender systems in e-commerce and other fields, their black-box interfaces raise security concerns: models are vulnerable to extractio…
Multimodal Representation-disentangled Information Bottleneck for Multimodal Recommendation
Hui Wang, Jinghui Qin, Wushao Wen +3
Multimodal data has significantly advanced recommendation systems by integrating diverse information sources to model user preferences and item characteristics. However, these syst…
PCR-CA: Parallel Codebook Representations with Contrastive Alignment for Multiple-Category App Recommendation
Bin Tan, Wangyao Ge, Yidi Wang +4
Modern app store recommender systems struggle with multiple-category apps, as traditional taxonomies fail to capture overlapping semantics, leading to suboptimal personalization. W…
Addressing bias in Recommender Systems: A Case Study on Data Debiasing Techniques in Mobile Games
Yixiong Wang, Maria Paskevich, Hui Wang
The mobile gaming industry, particularly the free-to-play sector, has been around for more than a decade, yet it still experiences rapid growth. The concept of games-as-service req…