Class DegreeGiniReranker<U>
java.lang.Object
es.uam.eps.ir.relison.links.recommendation.reranking.global.swap.SwapReranker<U,I>
es.uam.eps.ir.relison.links.recommendation.reranking.global.swap.SwapGreedyReranker<U,I>
es.uam.eps.ir.relison.links.recommendation.reranking.global.swap.SwapLambdaReranker<U,U>
es.uam.eps.ir.relison.links.recommendation.reranking.global.swap.GraphSwapReranker<U>
es.uam.eps.ir.relison.links.recommendation.reranking.global.swap.graph.DegreeGiniReranker<U>
- Type Parameters:
U- type of the users.
- All Implemented Interfaces:
GlobalReranker<U,U>
public class DegreeGiniReranker<U> extends GraphSwapReranker<U>
Optimizes the degree Gini of a graph.
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Field Summary
Fields Modifier and Type Field Description private longcountNumber of nodes.private java.util.List<org.ranksys.core.util.tuples.Tuple2od<U>>degreesSorted list that contains the degrees of the nodes.private java.util.Map<U,java.lang.Integer>mapMap that contains the positions of the nodes in the degrees list.private EdgeOrientationorientSelected orientation for the Degree Giniprivate doublesumThe total sum of the degrees.Fields inherited from class es.uam.eps.ir.relison.links.recommendation.reranking.global.swap.GraphSwapReranker
graph, recsFields inherited from class es.uam.eps.ir.relison.links.recommendation.reranking.global.swap.SwapLambdaReranker
novMap, novStats, relStatsFields inherited from class es.uam.eps.ir.relison.links.recommendation.reranking.global.swap.SwapGreedyReranker
cutOffFields inherited from class es.uam.eps.ir.relison.links.recommendation.reranking.global.swap.SwapReranker
globalvalue -
Constructor Summary
Constructors Constructor Description DegreeGiniReranker(double lambda, int cutOff, java.util.function.Supplier<Normalizer<U>> norm, Graph<U> graph, EdgeOrientation orient)Constructor -
Method Summary
Modifier and Type Method Description protected voidcomputeGlobalValue()Computes the global value of the property we want to enhance.protected voidinnerUpdate(U user, org.ranksys.core.util.tuples.Tuple2od<U> updated, org.ranksys.core.util.tuples.Tuple2od<U> old)Updates the different parameters of the reranker, further than changing the edges in the graph.private doublenewcoef(U user, org.ranksys.core.util.tuples.Tuple2od<U> updated, org.ranksys.core.util.tuples.Tuple2od<U> old)Updates the parameters, considering that a new edge is added, and the old edge is removed.private doublenewcoefadd(U user, org.ranksys.core.util.tuples.Tuple2od<U> updated)Updates the parameters, considering that a only new edge is added.private doublenewcoefdel(U user, org.ranksys.core.util.tuples.Tuple2od<U> old)Updates the parameters, considering that the new edge is not added (only the old is removed.)protected doublenovAdd(U u, org.ranksys.core.util.tuples.Tuple2od<U> newUser, org.ranksys.core.util.tuples.Tuple2od<U> oldUser)Computes the novelty if an edge is added to the graphprotected doublenovAddDelete(U u, org.ranksys.core.util.tuples.Tuple2od<U> newUser, org.ranksys.core.util.tuples.Tuple2od<U> oldUser)Computes the novelty if an edge is replaced by otherprotected doublenovDelete(U u, org.ranksys.core.util.tuples.Tuple2od<U> newUser, org.ranksys.core.util.tuples.Tuple2od<U> oldUser)Computes the novelty if an edge is removed from the graphprotected voidupdate(es.uam.eps.ir.ranksys.core.Recommendation<U,U> reranked)Updates the reranking algorithm values, using a certain recommendation.Methods inherited from class es.uam.eps.ir.relison.links.recommendation.reranking.global.swap.GraphSwapReranker
nov, rerankRecommendations, updateMethods inherited from class es.uam.eps.ir.relison.links.recommendation.reranking.global.swap.SwapLambdaReranker
rerankPermutation, selectItem, value, valuetopMethods inherited from class es.uam.eps.ir.relison.links.recommendation.reranking.global.swap.SwapGreedyReranker
getBasePerm, rerankRecommendation
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Field Details
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degrees
Sorted list that contains the degrees of the nodes. -
map
Map that contains the positions of the nodes in the degrees list. -
orient
Selected orientation for the Degree Gini -
sum
private double sumThe total sum of the degrees. Equal to the number of edges in the network if both the graph and the selected orientation are directed, equal to the double in other case. -
count
private long countNumber of nodes.
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Constructor Details
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DegreeGiniReranker
public DegreeGiniReranker(double lambda, int cutOff, java.util.function.Supplier<Normalizer<U>> norm, Graph<U> graph, EdgeOrientation orient)Constructor- Parameters:
lambda- trade-off between the original and novelty score (clustering coefficient).cutOff- maximum length of the recommendation ranking.norm- the normalization strategy.graph- the original graph.orient- orientation for selecting the degree.
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Method Details
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novAddDelete
protected double novAddDelete(U u, org.ranksys.core.util.tuples.Tuple2od<U> newUser, org.ranksys.core.util.tuples.Tuple2od<U> oldUser)Description copied from class:GraphSwapRerankerComputes the novelty if an edge is replaced by other- Specified by:
novAddDeletein classGraphSwapReranker<U>- Parameters:
u- user to be recommended.newUser- the new recommendationoldUser- the old recommendation- Returns:
- the novelty score.
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novAdd
protected double novAdd(U u, org.ranksys.core.util.tuples.Tuple2od<U> newUser, org.ranksys.core.util.tuples.Tuple2od<U> oldUser)Description copied from class:GraphSwapRerankerComputes the novelty if an edge is added to the graph- Specified by:
novAddin classGraphSwapReranker<U>- Parameters:
u- user to be recommended.newUser- the new recommendationoldUser- the old recommendation- Returns:
- the novelty score.
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novDelete
protected double novDelete(U u, org.ranksys.core.util.tuples.Tuple2od<U> newUser, org.ranksys.core.util.tuples.Tuple2od<U> oldUser)Description copied from class:GraphSwapRerankerComputes the novelty if an edge is removed from the graph- Specified by:
novDeletein classGraphSwapReranker<U>- Parameters:
u- user to be recommended.newUser- the new recommendationoldUser- the old recommendation- Returns:
- the novelty score.
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computeGlobalValue
protected void computeGlobalValue()Description copied from class:GraphSwapRerankerComputes the global value of the property we want to enhance.- Specified by:
computeGlobalValuein classGraphSwapReranker<U>
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update
Description copied from class:SwapRerankerUpdates the reranking algorithm values, using a certain recommendation.- Specified by:
updatein classSwapReranker<U,U>- Parameters:
reranked- the recommendation.
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innerUpdate
protected void innerUpdate(U user, org.ranksys.core.util.tuples.Tuple2od<U> updated, org.ranksys.core.util.tuples.Tuple2od<U> old)Description copied from class:GraphSwapRerankerUpdates the different parameters of the reranker, further than changing the edges in the graph.- Specified by:
innerUpdatein classGraphSwapReranker<U>- Parameters:
user- the target user.updated- the new candidate user.old- the old candidate user.
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newcoefadd
Updates the parameters, considering that a only new edge is added. Every edge that enters this function is considered to be undirected.- Parameters:
user- the target user.updated- the new candidate user.- Returns:
- the new global value.
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newcoef
private double newcoef(U user, org.ranksys.core.util.tuples.Tuple2od<U> updated, org.ranksys.core.util.tuples.Tuple2od<U> old)Updates the parameters, considering that a new edge is added, and the old edge is removed.- Parameters:
user- the target user.updated- the new candidate user.old- the old candidate user.- Returns:
- the new global value.
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newcoefdel
Updates the parameters, considering that the new edge is not added (only the old is removed.)- Parameters:
user- the target user.old- the old candidate user.- Returns:
- the new global value.
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