es.uam.eps.ir.ranksys.novelty.longtail.reranking

Class FDItemNoveltyReranker<U,I>

java.lang.Object

es.uam.eps.ir.ranksys.novdiv.reranking.PermutationReranker<U,I>

es.uam.eps.ir.ranksys.novdiv.itemnovelty.reranking.ItemNoveltyReranker<U,I>

es.uam.eps.ir.ranksys.novelty.longtail.reranking.FDItemNoveltyReranker<U,I>

Type Parameters:

U - type of the users

I - type of the items

All Implemented Interfaces:

Reranker<U,I>

public class FDItemNoveltyReranker<U,I>
extends ItemNoveltyReranker<U,I>

Free Discovery item novelty re-ranker. S. Vargas. Novelty and diversity evaluation and enhancement in Recommender Systems. PhD Thesis. S. Vargas and P. Castells. Rank and relevance in novelty and diversity for Recommender Systems. RecSys 2011.

Author:

Saúl Vargas (saul.vargas@uam.es), Pablo Castells (pablo.castells@uam.es)

Constructor Summary

Constructors

Constructor and Description
FDItemNoveltyReranker(double lambda, FDItemNovelty<U,I> novelty, boolean norm) Constructor.

Method Summary

Methods inherited from class es.uam.eps.ir.ranksys.novdiv.itemnovelty.reranking.ItemNoveltyReranker

norm, rerankPermutation, value

Methods inherited from class es.uam.eps.ir.ranksys.novdiv.reranking.PermutationReranker

getBasePerm, permuteRecommendation, rerankRecommendation

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Detail

FDItemNoveltyReranker

public FDItemNoveltyReranker(double lambda,
                             FDItemNovelty<U,I> novelty,
                             boolean norm)

Constructor.

Parameters:

lambda - trade-off between relevance and novelty

novelty - item novelty model

norm - normalize the relevance and novelty scores