Interpreting Neural Ranking Models using Grad-CAM

Understand

Recently, applying deep neural networks in IR has become an important and timely topic.

• For instance, Neural Ranking Models(NRMs) have shown promising performance compared to the traditional ranking models.
• However, explaining the ranking results has become even more difficult with NRM due to the complex structure of neural networks.
• On the other hand, a great deal of research is under progress on Interpretable Machine Learning(IML), including Grad-CAM.