Recommender Systems Lab
Welcome to the Recommender Systems Lab!
Our current focus is using deep learning techniques to build concise representations of the meanings of a user's context and use these powerful features to provide accurate personal recommendations.
We are doing projects with full cooperation with Taboola.com, KBC Bank, and the Israel Innovation Authority (IIA).
We aim to improve existing recommendation systems by leveraging auxiliary side information that can provide additional
Our main research topics are:
New latent representation of sequential contextual side information within Context-Aware Recommendation Systems
Boosting Recommendation Systems Using Side Information for CTR Prediction
Context-Aware Recommendation System Utilizing Evolutionary Algorithms
Incorporate Calibrated Reviews in Recommendation Systems
Movie Recommendation Based on Movie Transcripts
We are always looking for new team members! If you are interested in our research, don't hesitate, and feel free to contact