Item Recommendation with Evolving User Preferences and Experience

Subhabrata Mukherjee, Hemank Lamba, Gerhard Weikum

Current recommender systems exploit user and item similarities by collaborative filtering. Some advanced methods also consider the temporal evolution of item ratings as a global ba…