es.uam.eps.ir.ranksys.diversity.binom

Class BinomialModel.UserBinomialModel

java.lang.Object

es.uam.eps.ir.ranksys.diversity.binom.BinomialModel.UserBinomialModel

All Implemented Interfaces:

UserModel.Model<U>

Enclosing class:

BinomialModel<U,I,F>

public class BinomialModel.UserBinomialModel
extends Object
implements UserModel.Model<U>

Binomial diversity model of a user.

Method Summary

Modifier and Type	Method and Description
Set<F>	getFeatures() Returns the features considered by the user binomial model.
double	longing(F f, int N) Returns the longing, i.e., how much the feature would be missed if not included in a recommendation list of a given size.
double	p(F f) Returns the personalized probability of a feature.
double	patience(int k, F f, int N) Return the patience, i.e., the penalization of having a number of items with the same feature in a recommendation list of a given size.

Methods inherited from class java.lang.Object

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

Method Detail

getFeatures

public Set<F> getFeatures()

Returns the features considered by the user binomial model.

Returns:

the features considered by the user binomial model

p

public double p(F f)

Returns the personalized probability of a feature.

Parameters:

f - feature

Returns:

the personalized probability of a feature

longing

public double longing(F f,
                      int N)

Returns the longing, i.e., how much the feature would be missed if not included in a recommendation list of a given size.

Parameters:

f - feature

N - recommendation list size

Returns:

longing score

patience

public double patience(int k,
                       F f,
                       int N)

Return the patience, i.e., the penalization of having a number of items with the same feature in a recommendation list of a given size.

Parameters:

k - number of times the feature appears in items in the recommendation.

f - feature

N - recommendation list size

Returns:

patience score