nz.ac.waikato.mcennis.rat.graph.algorithm.evaluation
Class HalfLife

java.lang.Object
  nz.ac.waikato.mcennis.rat.graph.model.ModelShell
      nz.ac.waikato.mcennis.rat.graph.algorithm.evaluation.HalfLife

All Implemented Interfaces:

java.io.Serializable, Component, Algorithm, Model

public class HalfLife
extends ModelShell
implements Algorithm

Uses Given(user->artist) as valued ground truth. Uses Derived(user->artist) as predicted data. Sequentially moving from highest predicted recommendation, the score (from ground truth) is added in, divided by an exponentially increasing penalty. The result is a value between 0 and 1 where 0 contained nothing from the recommendation list while 1 contained the entire recommended list from highest score to lowest score. Herlocker, J., J. Konstan, L. Terveen, J. Reidl. 2004. Evaluating collaborative filtering recommender systems. ACM Transactions on Information Systems 22(1):5-53

See Also:

Serialized Form

Field Summary

Fields inherited from class nz.ac.waikato.mcennis.rat.graph.model.ModelShell

listener

Constructor Summary

HalfLife()
Creates a new instance of Evaluation

Method Summary

void	execute(Graph g) Calculate all the evaluation metrics against the given graph.
InputDescriptor[]	getInputType() The input type describes all the different kinds of graph objects that are utilized (and hence required) by this object.
OutputDescriptor[]	getOutputType() The output type describes all the different kinds of graph objects that are created during the execution of this algorithm.
Parameter[]	getParameter() List of all parameters this component accepts.
Parameter	getParameter(java.lang.String param) Returns the specific parameter identified by its key-name.
SettableParameter[]	getSettableParameter() Returns settable (i.e.
SettableParameter	getSettableParameter(java.lang.String param) Return the settable parameter namede by this key-name.
protected void	halfLife(Graph g)
void	init(java.util.Properties map) Parameters to be initialized 'name' - name of this instance of this algorithm.

Methods inherited from class nz.ac.waikato.mcennis.rat.graph.model.ModelShell

addListener, fireChange

Methods inherited from class java.lang.Object

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

Methods inherited from interface nz.ac.waikato.mcennis.rat.graph.model.Model

addListener

Constructor Detail

HalfLife

public HalfLife()

Creates a new instance of Evaluation

Method Detail

execute

public void execute(Graph g)

Calculate all the evaluation metrics against the given graph. TODO: add F-measure stastic

Specified by:

execute in interface Algorithm

Parameters:

g - graph to be modified

halfLife

protected void halfLife(Graph g)

getInputType

public InputDescriptor[] getInputType()

Description copied from interface: Component

The input type describes all the different kinds of graph objects that are utilized (and hence required) by this object. This result is only guaranteed to be fixed if structural parameters are not modified. This is an empty array if there is no input.

Specified by:

getInputType in interface Component

Returns:

InputDescriptor array for this component

See Also:

InputDescriptor

getOutputType

public OutputDescriptor[] getOutputType()

Description copied from interface: Component

The output type describes all the different kinds of graph objects that are created during the execution of this algorithm. The result is only guaranteed to be fixed if structural parameters are not modified. This is an empty array if there is no output.

Specified by:

getOutputType in interface Component

Returns:

OutputDescriptor array for this component

See Also:

OutputDescriptor

getParameter

public Parameter[] getParameter()

Description copied from interface: Component

List of all parameters this component accepts. Each parameter also has a distinct key-name used when initializing the object using the init method. If there are no parameters, null is returned.

Specified by:

getParameter in interface Component

Returns:

read-only array of Parameters

getParameter

public Parameter getParameter(java.lang.String param)

Description copied from interface: Component

Returns the specific parameter identified by its key-name. If no parameter is found with this key-name, null is returned.

Specified by:

getParameter in interface Component

Parameters:

param - key-name of the parameter

Returns:

named parameter

getSettableParameter

public SettableParameter[] getSettableParameter()

Description copied from interface: Component

Returns settable (i.e. editable while running) parameters. If none exist, null is returned.

Specified by:

getSettableParameter in interface Component

Returns:

array of settable parameters

getSettableParameter

public SettableParameter getSettableParameter(java.lang.String param)

Description copied from interface: Component

Return the settable parameter namede by this key-name. If this parameter is not found or is not settable, null is returned.

Specified by:

getSettableParameter in interface Component

Parameters:

param - key-name of the parameter

Returns:

named settable parameter

init

public void init(java.util.Properties map)

Parameters to be initialized

1. 'name' - name of this instance of this algorithm. Deafult 'Evaluation'
2. 'relationGroundTruth' - type (relation) of link that describes ground truth relations between two actor types (modes). Default 'Given'
3. 'relationDerived' - type (relation) of link that describes calculated references to be evaluated between two modes. Deafult 'Derived'.
4. 'propertyPrefix' - prefix for the property names generated. Default 'Evaluation '.
5. 'alpha' - parameter describing nature of exponential drop off. Default 5.0

Input 1 - Link
Input 2 - Link
Output 1-12 - Graph Property

Specified by:

init in interface Component

Parameters:

map - map of the given properties naming parameters and their values in a string