Workshop on Machine Learning for Investor Modelling and Recommender Systems

Currently, there is a gap between industry and academia in the area of ML in investor modelling and recommender systems. This workshop will bring together academic and industry participants working on state-of-the-art research in designing recommender systems that incorporate investor preferences, demographics, historical and predicted trading behaviors, and financial details. This workshop builds on previous workshops on machine learning for investor modelling where we identified recommender systems as an emerging area of quantitative behavioral finance. This workshop reaches more broadly to bring together researchers and industry participants working on new methodologies in AI and recommender systems and share their recent results in this fast-moving field.