5 papers
A Systematic Reproducibility Study of BSARec for Sequential Recommendation
Jan Hutter, Hua Chang Bakker, Stan Fris +2
In sequential recommendation (SR), the self-attention mechanism of Transformer-based models acts as a low-pass filter, limiting their ability to capture high-frequency signals that…
A Reproducibility Study of Product-side Fairness in Bundle Recommendation
Huy-Son Nguyen, Yuanna Liu, Masoud Mansoury +3
Recommender systems are known to exhibit fairness issues, particularly on the product side, where products and their associated suppliers receive unequal exposure in recommended re…
FairDiverse: A Comprehensive Toolkit for Fair and Diverse Information Retrieval Algorithms
Chen Xu, Zhirui Deng, Clara Rus +6
In modern information retrieval (IR). achieving more than just accuracy is essential to sustaining a healthy ecosystem, especially when addressing fairness and diversity considerat…
Repeat-bias-aware Optimization of Beyond-accuracy Metrics for Next Basket Recommendation
Yuanna Liu, Ming Li, Mohammad Aliannejadi +1
In next basket recommendation (NBR) a set of items is recommended to users based on their historical basket sequences. In many domains, the recommended baskets consist of both repe…
Are We Really Achieving Better Beyond-Accuracy Performance in Next Basket Recommendation?
Ming Li, Yuanna Liu, Sami Jullien +4
Next basket recommendation (NBR) is a special type of sequential recommendation that is increasingly receiving attention. So far, most NBR studies have focused on optimizing the ac…