Hybrid Recommender System (B.Sc. Project)

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The whole system consists of different models each suitable for a different situation and it decides automatically based on some parameters which to use the most. Both ALS and DNN have their own pros and cons but in a complementary way. Using them together can be a way of solving popular recommender system challenges. link full document

Descriptions and technologies used

  • Implemented Alternating Least Square from scratch
  • Trained and tested Deep Neural Network
  • HP tuning done using Bayesian Optimization
  • Implemented in Python using PyTorch