org.ranksys.metrics.basic

Class KCall<U,I>

java.lang.Object

es.uam.eps.ir.ranksys.metrics.AbstractRecommendationMetric<U,I>

org.ranksys.metrics.basic.KCall<U,I>

Type Parameters:

U - user type

I - item type

All Implemented Interfaces:

RecommendationMetric<U,I>

public class KCall<U,I>
extends AbstractRecommendationMetric<U,I>

K-call metric. Penalizes recommendations retrieving less than k relevant documents.
Chen, H., Karger, D. R. (2006). Less is More: Probabilistic Models for Retrieving Fewer Relevant Documents. SIGIR'06. doi:10.1145/1148170.1148245

Author:

Saúl Vargas (Saul.Vargas@mendeley.com)

Constructor Summary

Constructors

Constructor and Description
KCall(int cutoff, int k, RelevanceModel<U,I> relModel) Constructor.

Method Summary

Modifier and Type	Method and Description
double	evaluate(Recommendation<U,I> recommendation) Returns a score for the recommendation list.

Methods inherited from class java.lang.Object

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

Constructor Detail

KCall

public KCall(int cutoff,
             int k,
             RelevanceModel<U,I> relModel)

Constructor.

Parameters:

cutoff - maximum number of recommended items to be examined

k - how many relevant items are needed to return 1

relModel - relevance model

Method Detail

evaluate

public double evaluate(Recommendation<U,I> recommendation)

Description copied from interface: RecommendationMetric

Returns a score for the recommendation list.

Parameters:

recommendation - recommendation list

Returns:

score of the metric to the recommendation