@Test
public void testAllRecommenderSystemsFilePersistence()
throws CannotLoadRatingsDataset, CannotLoadContentDataset {
final List<RecommenderSystem> recommenderSystems =
RecommenderSystemsFactory.getInstance().getAllClasses(RecommenderSystem.class);
for (RecommenderSystem recommenderSystem : recommenderSystems) {
if (recommenderSystem instanceof Recommender_DatasetProperties) {
continue;
}
String configFile = TEST_DIRECTORY + recommenderSystem.getName() + "_config.xml";
RecommenderSystemConfigurationFileParser.saveConfigFile(
configFile,
recommenderSystem,
datasetLoader,
new FilePersistence(recommenderSystem.getName(), "dat", new File(TEST_DIRECTORY)),
new OnlyNewItems(),
getRecommendationOutputFileXML(recommenderSystem));
Chronometer chronometer = new Chronometer();
SingleUserRecommendation.buildRecommendationModel(configFile);
Global.showln(
"Built model of '" + recommenderSystem + "' in " + chronometer.printTotalElapsed());
RatingsDataset<? extends Rating> ratingsDataset = datasetLoader.getRatingsDataset();
chronometer.reset();
ratingsDataset
.allUsers()
.stream()
.forEach(
(idUser) -> {
SingleUserRecommendation.recommendToUser(configFile, idUser);
});
Global.showln(
"Recommended with '"
+ recommenderSystem
+ "' to "
+ datasetLoader.getRatingsDataset().allUsers().size()
+ " users in "
+ chronometer.printTotalElapsed());
}
}
/** Test of datasetDiff method, of class RatingsDatasetDiff. */
@Test
public void testDatasetDiff() {
RatingsDataset<? extends Rating> oldRatingsDataset =
RandomRatingsDatasetFactory.createRatingsDatasetWithLoadFactor(
10, 20, 0.5, new DecimalDomain(1, 5), 654321);
RatingsDataset<? extends Rating> newRatingsDataset =
RandomRatingsDatasetFactory.createRatingsDatasetWithLoadFactor(
10, 20, 0.5, new DecimalDomain(1, 5), 123456);
Global.showln("=============================================================");
Global.showln("===================== Old dataset ===========================");
Global.showln("=============================================================");
Global.showln(DatasetPrinter.printCompactRatingTable(oldRatingsDataset));
Global.showln("=============================================================");
Global.showln("===================== New dataset ===========================");
Global.showln("=============================================================");
Global.showln(DatasetPrinter.printCompactRatingTable(newRatingsDataset));
Global.showln("=============================================================");
Global.showln("===================== Diff old to new =======================");
Global.showln("=============================================================");
Global.showln(RatingsDatasetDiff.printDiff(oldRatingsDataset, newRatingsDataset));
Global.showln("=============================================================");
Global.showln("===================== Diff new to old =======================");
Global.showln("=============================================================");
Global.showln(RatingsDatasetDiff.printDiff(newRatingsDataset, oldRatingsDataset));
Global.showln("=============================================================");
Global.showln("===================== Diff histogram old to new =============");
Global.showln("=============================================================");
Global.showln(RatingsDatasetDiff.printDiffHistogram(newRatingsDataset, oldRatingsDataset));
Global.showln("=============================================================");
Global.showln("===================== Diff histogram new to old =============");
Global.showln("=============================================================");
Global.showln(RatingsDatasetDiff.printDiffHistogram(oldRatingsDataset, newRatingsDataset));
}