added MP engine

Author: domkowald

src/engine/MostPopularCollectiveEngine.java

@@ -0,0 +1,49 @@
+package engine;
+
+import java.util.ArrayList;
+import java.util.LinkedHashMap;
+import java.util.List;
+import java.util.Map;
+import file.BookmarkReader;
+
+public class MostPopularCollectiveEngine implements EngineInterface {
+
+	private BookmarkReader reader;
+	private final Map<String, Double> collectiveTags = new LinkedHashMap<String, Double>();
+	
+	public void loadFile(String filename) throws Exception {
+		BookmarkReader reader = EngineUtils.getSortedBookmarkReader(filename);
+		Map<Integer, Double> collectiveTags = EngineUtils.calcTopEntities(reader, EntityType.TAG);
+		
+		// map to strings
+		Map<String, Double> collectiveTagNames = new LinkedHashMap<String, Double>();
+		for (Map.Entry<Integer, Double> tag : collectiveTags.entrySet()) {
+			collectiveTagNames.put(reader.getTags().get(tag.getKey()), tag.getValue());
+		}
+		
+		resetStructures(reader, collectiveTagNames);
+	}
+
+	@Override
+	public synchronized Map<String, Double> getEntitiesWithLikelihood(String user, String resource, List<String> topics, Integer count, Boolean filterOwnEntities, Algorithm algorithm, EntityType type) {
+		if (count == null || count.doubleValue() < 1) {
+			count = 10;
+		}
+		
+		Map<String, Double> returnMap = new LinkedHashMap<String, Double>();
+		for (Map.Entry<String, Double> entry : collectiveTags.entrySet()) {
+			if (returnMap.size() < count.intValue()) {
+				returnMap.put(entry.getKey(), entry.getValue());
+			} else {
+				break;
+			}
+		}
+		return returnMap;
+	}
+
+	private synchronized void resetStructures(BookmarkReader reader, Map<String, Double> collectiveTags) {
+		this.reader = reader;
+		this.collectiveTags.clear();
+		this.collectiveTags.putAll(collectiveTags);
+	}
+}

src/engine/TagRecommenderEvalEngine.java

@@ -31,14 +31,14 @@ License, or (at your option) any later version.
 
 public class TagRecommenderEvalEngine implements EngineInterface {
 
-	//private EngineInterface lmEngine;
+	private EngineInterface mpEngine;
 	private EngineInterface bllEngine;
 	private EngineInterface threelEngine;	
 	//private Random random;
 	private BufferedWriter bw;
 
 	public TagRecommenderEvalEngine() {
-		//this.lmEngine = null;
+		this.mpEngine = null;
 		this.bllEngine = null;
 		this.threelEngine = null;
 		//this.random = new Random();
@@ -55,8 +55,8 @@ public TagRecommenderEvalEngine() {
 	@Override
 	public void loadFile(String filename) throws Exception {
 		//this.lmEngine = null;
-		this.bllEngine = null;
-		this.threelEngine = null;
+		//this.bllEngine = null;
+		//this.threelEngine = null;
 
 		/* old
 		BookmarkReader reader = new BookmarkReader(0, false);
@@ -79,6 +79,8 @@ public void loadFile(String filename) throws Exception {
 			this.bllEngine = new BaseLevelLearningCollectiveEngine();
 			this.bllEngine.loadFile(filename);
 		//}
+			this.mpEngine = new MostPopularCollectiveEngine();
+			this.mpEngine.loadFile(filename);
 	}
 
 	@Override
@@ -113,7 +115,7 @@ public synchronized Map<String, Double> getEntitiesWithLikelihood(String user, S
 					algorithmString = "3Lcoll";
 				}
 			}
-		} else {
+		} else if (algorithm == Algorithm.BLLcoll || algorithm == Algorithm.BLL) {
 			if (this.bllEngine != null) {
 				returnMap = this.bllEngine.getEntitiesWithLikelihood(user, resource, topics, count, filterOwnEntities, algorithm, type);
 				if (algorithm == Algorithm.BLL) {
@@ -122,6 +124,11 @@ public synchronized Map<String, Double> getEntitiesWithLikelihood(String user, S
 					algorithmString = "BLLcoll";
 				}
 			}
+		} else {
+			if (this.mpEngine != null) {
+				returnMap = this.mpEngine.getEntitiesWithLikelihood(user, resource, topics, count, filterOwnEntities, algorithm, type);
+				algorithmString = "MP";
+			}
 		}
 		if (this.bw != null) {
 			try {

src/test/Pipeline.java

@@ -500,10 +500,11 @@ private static void startKnowBrainTest(String path) {
 		System.out.println("Tags for user: " + recEngine.getEntitiesWithLikelihood("14", null, Arrays.asList("t848","t655","t448","t40","t53","t997","t508","t268"), 10, false, Algorithm.THREELcoll, null));
 		System.out.println("Tags for user: " + recEngine.getEntitiesWithLikelihood("14", null, Arrays.asList("t3"), 10, false, Algorithm.BLLcoll, null));
 		System.out.println("Tags for user: " + recEngine.getEntitiesWithLikelihood("14", null, Arrays.asList("t848","t655","t448","t40","t53","t997","t508","t268"), 10, false, Algorithm.BLLcoll, null));
-		System.out.println("Tags for user: " + recEngine.getEntitiesWithLikelihood("14", null, Arrays.asList("t3"), 10, false, Algorithm.THREEL, null));
-		System.out.println("Tags for user: " + recEngine.getEntitiesWithLikelihood("14", null, Arrays.asList("t848","t655","t448","t40","t53","t997","t508","t268"), 10, false, Algorithm.THREEL, null));
-		System.out.println("Tags for user: " + recEngine.getEntitiesWithLikelihood("14", null, Arrays.asList("t3"), 10, false, Algorithm.BLL, null));
-		System.out.println("Tags for user: " + recEngine.getEntitiesWithLikelihood("14", null, Arrays.asList("t848","t655","t448","t40","t53","t997","t508","t268"), 10, false, Algorithm.BLL, null));
+		System.out.println("Tags for user: " + recEngine.getEntitiesWithLikelihood("14", null, Arrays.asList("t848","t655","t448","t40","t53","t997","t508","t268"), 10, false, Algorithm.MP, null));
+		//System.out.println("Tags for user: " + recEngine.getEntitiesWithLikelihood("14", null, Arrays.asList("t3"), 10, false, Algorithm.THREEL, null));
+		//System.out.println("Tags for user: " + recEngine.getEntitiesWithLikelihood("14", null, Arrays.asList("t848","t655","t448","t40","t53","t997","t508","t268"), 10, false, Algorithm.THREEL, null));
+		//System.out.println("Tags for user: " + recEngine.getEntitiesWithLikelihood("14", null, Arrays.asList("t3"), 10, false, Algorithm.BLL, null));
+		//System.out.println("Tags for user: " + recEngine.getEntitiesWithLikelihood("14", null, Arrays.asList("t848","t655","t448","t40","t53","t997","t508","t268"), 10, false, Algorithm.BLL, null));
 	}
 
 	// Helpers