prea.recommender.baseline
Class Random

java.lang.Object
  prea.recommender.baseline.BaselineRecommender
      prea.recommender.baseline.Random

All Implemented Interfaces:

Recommender

public class Random
extends BaselineRecommender

The class implementing a baseline, predicting uniformly randomly from the score range.

Since:

2012. 4. 20

Version:

1.1

Author:

Joonseok Lee

Field Summary

Fields inherited from class prea.recommender.baseline.BaselineRecommender

itemCount, maxValue, minValue, rateMatrix, userCount

Constructor Summary

Random(int uc, int ic, double max, double min)
Construct a constant model with the given data.

Method Summary

double

predict(int userId, int itemId) Predict a rating for the given user and item.

Methods inherited from class prea.recommender.baseline.BaselineRecommender

buildModel, evaluate

Methods inherited from class java.lang.Object

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

Constructor Detail

Random

public Random(int uc,
              int ic,
              double max,
              double min)

Construct a constant model with the given data.

Parameters:

uc - The number of users in the dataset.

ic - The number of items in the dataset.

max - The maximum rating value in the dataset.

min - The minimum rating value in the dataset.

Method Detail

predict

public double predict(int userId,
                      int itemId)

Predict a rating for the given user and item.

Specified by:

predict in class BaselineRecommender

Parameters:

userId - The target user.

itemId - The target item.

Returns:

predicted rating.