A Tutorial on Feature Interpretation in Recommender Systems
Data-driven techniques have greatly empowered recommender systems in different
scenarios. However, many mainstream algorithms rely on black-box models, making them …
scenarios. However, many mainstream algorithms rely on black-box models, making them …
AltFS: Agency-light Feature Selection with Large Language Models in Deep Recommender Systems
Feature selection is crucial in recommender systems for improving model efficiency and
predictive performance. Traditional methods rely on agency models, such as decision trees …
predictive performance. Traditional methods rely on agency models, such as decision trees …