2 papers
cs.IR2024
Context-aware adaptive personalised recommendation: a meta-hybrid
Peter Tibensky, Michal Kompan
Recommenders take place on a wide scale of e-commerce systems, reducing the problem of information overload. The most common approach is to choose a recommender used by the system…
cs.LG2024
Pessimistic Off-Policy Optimization for Learning to Rank
Matej Cief, Branislav Kveton, Michal Kompan
Off-policy learning is a framework for optimizing policies without deploying them, using data collected by another policy. In recommender systems, this is especially challenging du…