Contextual Scalarisation Thompson Sampling for multi-objective decisions in public media

ArXi:2605.31291v1 Announce Type: cross Recommender systems may operate under multiple, competing objectives. For example, audience reach, cultural values, public service mandate, and operational constraints must be balanced in editorial decisions of public service media. Existing approaches relying on fixed combinations of objectives or Pareto-based optimisation do not adapt to changing priorities across situations.