3 citations · 3 across the 3 of their papers we have counts for
4 papers · 1 filter
FAIR-QR: Enhancing Fairness-aware Information Retrieval through Query Refinement
Fumian Chen, Hui Fang
Information retrieval systems such as open web search and recommendation systems are ubiquitous and significantly impact how people receive and consume online information. Previous…
Toward Automatic Group Membership Annotation for Group Fairness Evaluation
Fumian Chen, Dayu Yang, Hui Fang
With the increasing research attention on fairness in information retrieval systems, more and more fairness-aware algorithms have been proposed to ensure fairness for a sustainable…
Learn to be Fair without Labels: a Distribution-based Learning Framework for Fair Ranking
Fumian Chen, Hui Fang
Ranking algorithms as an essential component of retrieval systems have been constantly improved in previous studies, especially regarding relevance-based utilities. In recent years…
Behavior Alignment: A New Perspective of Evaluating LLM-based Conversational Recommender Systems
Dayu Yang, Fumian Chen, Hui Fang
Large Language Models (LLMs) have demonstrated great potential in Conversational Recommender Systems (CRS). However, the application of LLMs to CRS has exposed a notable discrepanc…