2 papers
cs.IR2025
Evaluating and Addressing Fairness Across User Groups in Negative Sampling for Recommender Systems
Yueqing Xuan, Kacper Sokol, Mark Sanderson +1
Recommender systems trained on implicit feedback data rely on negative sampling to distinguish positive items from negative items for each user. Since the majority of positive inte…
cs.IR2025
Can Generative LLMs Create Query Variants for Test Collections? An Exploratory Study
Marwah Alaofi, Luke Gallagher, Mark Sanderson +2
This paper explores the utility of a Large Language Model (LLM) to automatically generate queries and query variants from a description of an information need. Given a set of infor…