Package es.uam.eps.ir.relison.links.recommendation.reranking.local.user

Class UserMetricReranker.UserMetricUserReranker

java.lang.Object

es.uam.eps.ir.relison.links.recommendation.reranking.local.LambdaReranker.LambdaUserReranker

es.uam.eps.ir.relison.links.recommendation.reranking.local.user.UserMetricReranker.UserMetricUserReranker

Direct Known Subclasses:

OriginalDirectUserMetricReranker.OriginalDirectUserMetricUserReranker, OriginalInverseUserMetricReranker.OriginalInverseUserMetricUserReranker, ProgressiveDirectUserMetricReranker.ProgressiveDirectUserMetricUserReranker, ProgressiveInverseUserMetricReranker.ProgressiveInverseUserMetricUserReranker

Enclosing class:

UserMetricReranker<U>

protected abstract class UserMetricReranker.UserMetricUserReranker
extends LambdaReranker.LambdaUserReranker

Individual user reranker that promotes

Field Summary

Fields

Modifier and Type	Field	Description
protected Graph<U>	graph	The network.
protected VertexMetric<U>	metric	The metric to optimize.

Fields inherited from class es.uam.eps.ir.relison.links.recommendation.reranking.local.LambdaReranker.LambdaUserReranker

novMap, novStats, relStats

Constructor Summary

Constructors

Constructor	Description
UserMetricUserReranker(es.uam.eps.ir.ranksys.core.Recommendation<U,U> recommendation, int maxLength, Graph<U> graph, VertexMetric<U> metric)	Constructor.

Method Summary

Methods inherited from class es.uam.eps.ir.relison.links.recommendation.reranking.local.LambdaReranker.LambdaUserReranker

nov, selectItem, value

Methods inherited from class java.lang.Object

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

Field Details

graph

protected final Graph<U> graph

The network.

metric

protected final VertexMetric<U> metric

The metric to optimize.

Constructor Details

UserMetricUserReranker

public UserMetricUserReranker(es.uam.eps.ir.ranksys.core.Recommendation<U,U> recommendation, int maxLength, Graph<U> graph, VertexMetric<U> metric)

Constructor.

Parameters:

recommendation - the recommendation to rerank.

maxLength - the maximum length of the definitive ranking.

graph - the training network.

metric - the metric to optimize.