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.