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AI-Recommendation-Systems

Third Assignment in 'Artificial Intelligence' course by Dr. Ram Meshulam at Bar-Ilan University.

In this exercise, we practiced the various recommendation systems algorithms learned in class:

  • Non-personalized
  • Contact based filtering
  • Contact-based filtering

In addition, we have implemented functions of various evaluation metrics to evaluate the recommendations:

  • Precision_k
  • ARHA
  • RMSE

We used each of the above functions with the following similarity metrics:

  • Cosine
  • Euclidean
  • Jaccard