17 citations · 30 across the 6 of their papers we have counts for
8 papers
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…
Improving Recommendation Diversity by Highlighting the ExTrA Fabricated Experts
Ya-Hui An, Qiang Dong, Quan Yuan +1
Nowadays, recommender systems (RSes) are becoming increasingly important to individual users and business marketing, especially in the online e-commerce scenarios. However, while t…
Alleviating the recommendation bias via rank aggregation
Qiang Dong, Quan Yuan, Yang-Bo Shi
The primary goal of a recommender system is often known as "helping users find relevant items", and a lot of recommendation algorithms are proposed accordingly. However, these accu…
Resource Mention Extraction for MOOC Discussion Forums
Ya-Hui An, Liangming Pan, Min-Yen Kan +2
In discussions hosted on discussion forums for MOOCs, references to online learning resources are often of central importance. They contextualize the discussion, anchoring the disc…
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…
Hamiltonian Connectivity of Twisted Hypercube-Like Networks under the Large Fault Model
Qiang Dong, Hui Gao, Yan Fu +1
Twisted hypercube-like networks (THLNs) are an important class of interconnection networks for parallel computing systems, which include most popular variants of the hypercubes, su…