During the internship in CAU Data Science Lab, I researched about the recommendation system in detail.
- Non Personalized Recommendation System
- Genre Based Recommendation System
- Matrix Factorization
- Popular, Genre, Group based Recommendation System
- AutoEncoder
- Variational AutoEncoder for Collaborative Filtering
- Mixture of Experts
- Gumbel Softmax
- Collaborative engine for practical disease prediction (CARE)
- Adaptive Sequential Model Generator for Incrementally Updating Recommender Systems
- Embarrassingly Shallow Autoencoders for Sparse Data