NDBI021
User preferences and advanced recommending methods
This course focus on deeper understanding of user preferences/needs/requirements. The problem depends both on the user seniority, visits frequency or the particular domain in question. Covered topics include e.g. proportionality, preference drift, multicriteriality, unbiased evaluation as well as algorithms capable to learn and recommend under such constraints.
