Package es.uam.eps.ir.relison.links.recommendation.reranking.global.globalranking
Definition and implementation of reranking algorithms for enhancing global properties of
the system.
Given a set of recommendations for different users, these rerankers iteratively choose the user-item
pair that maximizes a given objective function. A user can only be selected as long as the ranking
does not have enough items.
-
Class Summary Class Description GlobalRankingGreedyReranker<U,I> Implementation of a greedy reranking strategy for optimizing global properties of the system.GlobalRankingLambdaReranker<U,I> Implementation of a greedy reranking strategy for optimizing global properties of the system.