17 citations · 30 across the 6 of their papers we have counts for
4 papers · 1 filter
Measuring and Mitigating Identity-Cue Preference Drift in LLM-based Recommender Systems
Zhuoxiong Gan, Qiang Dong
In large language model-based recommender systems, identity cues embedded in prompts can steer recommendations toward group-level patterns even when the underlying behavioral evide…
User-item matching for recommendation fairness
Qiang Dong, Shuang-Shuang Xie, Wen-Jun Li
As we all know, users and item-providers are two main parties of participants in recommender systems. However, most existing research efforts on recommendation were focused on bett…
Diffusion-like recommendation with enhanced similarity of objects
Ya-Hui An, Qiang Dong, Chong-Jing Sun +2
In last decades, diversity and accuracy have been regarded as two important measures in evaluating a recommendation model. However, a clear concern is that a model focusing excessi…
Information Filtering via Balanced Diffusion on Bipartite Networks
Da-Cheng Nie, Ya-Hui An, Qiang Dong +2
Recent decade has witnessed the increasing popularity of recommender systems, which help users acquire relevant commodities and services from overwhelming resources on Internet. So…