Noam Koenigstein

Machine Learning. Information Retrieval. Recommender Systems.

I lead the Deep Learning Technologies and Applications (DELTA) at the Department of Industrial Engineering at Tel Aviv University. My main research interest is novel machine learning algorithms for real-world applications. Specifically, I am focused on three main areas:

Recommender Systems: My original research area is Collaborative Filtering algorithms for recommender systems. I began this line of research during my when I was an intern at Yahoo! Research and worked with Dr. Yehuda Koren organizing KDD Cup 2011. Later, I joined Microsoft and started a research team who developed the recommendation algorithms for Xbox, and Windows Store. I also serve as a senior program committee in RecSys.
Economic Forecasting: After Microsoft, I joined Citi Innovation Lab in Tel Aviv, where I served as Head of Data Science. During this role, I started researching machine learning applications for economic predictions. I continued this line of work at Tel Aviv University, where I collaborate with the Bank of Israel on developing machine learning algorithm for nowcasting CPI inflation.
Machine Learning for Agricultural Application: We all need to eat, and agriculture is the origin of everything we put in our mouths. I collaborate with Israel’s Volcani Agricultural Research Organization on multiple projects invovling machine learning applications for agriculture.