Definition
Top-
Recommendation Learning Problem The Top-
Recommendation Learning Problem is the task of learning, from observed user–item data, a recommender that ranks candidate items according to their predicted relevance to a user. Given a user
and a set of candidate items , the learned model assigns each item a relevance score and recommends the
highest-ranked items.