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Recommender systems · Module 5

Interpreting
the Results.

Why did the model pick this suggestion rather than another? Learn to open the black box with SHAP, LIME and the essential performance metrics.

SHAP
Shapley values
+ LIME
92%
Prediction
confidence
XAI
Explainable
AI methods
— Activity

Explain the recommendation

Interactive

Why "Interstellar" for Marie?

Decode the prediction mechanics and understand how your model reaches its conclusions

— Use case

Marie rated Inception (5⭐), Interstellar (4⭐), Dune: Part Two (4.5⭐). The model strongly recommends Interstellar to a similar new user. Why?

— Detailed explanation
The model (SVD + user-based collaborative filtering) identified that Marie belongs to a cluster of users who love philosophical science fiction / space exploration films with a strong emotional component.
— Key contributing factors
  • High cosine similarity with users who liked Inception + 2001: A Space Odyssey
  • Latent factor no. 3 strongly activated (themes: time, relativity, family)
  • SHAP contribution: +0.38 for "Christopher Nolan" and +0.29 for "space exploration"
Overall recommendation confidence: 92% probability that Marie gives ≥ 4/5
Precision@5
0.78

Relevant top 5

Recall@10
0.64

Coverage of good items

NDCG@10
0.81

Ranking quality

RMSE
0.86

Average prediction error