期刊论文

Zhang, J

英文

Neural Processing Letters

1370-4621

2024

56

1

1-15

10.1007/s11063-024-11446-x

This research was funded by the Natural Science Foundation of Hunan Province (2021JJ30456, 2021JJ30734), the Open Research Project of the State Key Laboratory of Industrial Control Technology (No. ICT2022B60), the National Defense Science and Technology Key Laboratory Fund Project (2021-KJWPDL-17), and the National Natural Science Foundation of China (61972055).

本校为通讯机构

Recommendation systems have been effectively utilized in various fields, but their internal decision-making methods are still largely unknown. This opaque decision-making method can greatly affect users’ trust in the recommendation system. Therefore, finding a way to explain the reasons for model decisions has become an urgent task. Previous studies often used LSTM and other models to generate recommendation explanations and explain the reasons for recommendations in text form. However, traditional methods cannot effectively use the ID informa...