@Test public void testBestRating() throws Exception { Recommender recommender = buildRecommender(); List<RecommendedItem> recommended = recommender.recommend(1, 1); assertNotNull(recommended); assertEquals(1, recommended.size()); RecommendedItem firstRecommended = recommended.get(0); assertEquals(2, firstRecommended.getItemID()); assertEquals(0.1f, firstRecommended.getValue(), EPSILON); }
@Override public List<RecommendedItem> recommend(long userID, int howMany, IDRescorer rescorer, boolean includeKnownItems) throws TasteException { Preconditions.checkArgument(howMany >= 1, "howMany must be at least 1"); log.debug("Recommending items for user ID '{}'", userID); PreferenceArray preferencesFromUser = getDataModel().getPreferencesFromUser(userID); if (preferencesFromUser.length() == 0) { return Collections.emptyList(); } FastIDSet possibleItemIDs = getAllOtherItems(userID, preferencesFromUser, includeKnownItems); TopItems.Estimator<Long> estimator = new Estimator(userID, preferencesFromUser); List<RecommendedItem> topItems = TopItems.getTopItems(howMany, possibleItemIDs.iterator(), rescorer, estimator); log.debug("Recommendations are: {}", topItems); return topItems; }
GenericItemBasedRecommender extends AbstractRecommender implements ItemBasedRecommender { @Override public List<RecommendedItem> recommend(long userID, int howMany, IDRescorer rescorer, boolean includeKnownItems) throws TasteException { Preconditions.checkArgument(howMany >= 1, "howMany must be at least 1"); log.debug("Recommending items for user ID '{}'", userID); PreferenceArray preferencesFromUser = getDataModel().getPreferencesFromUser(userID); if (preferencesFromUser.length() == 0) { return Collections.emptyList(); } FastIDSet possibleItemIDs = getAllOtherItems(userID, preferencesFromUser, includeKnownItems); TopItems.Estimator<Long> estimator = new Estimator(userID, preferencesFromUser); List<RecommendedItem> topItems = TopItems.getTopItems(howMany, possibleItemIDs.iterator(), rescorer, estimator); log.debug("Recommendations are: {}", topItems); return topItems; } }
GenericItemBasedRecommender extends AbstractRecommender implements ItemBasedRecommender { @Override public List<RecommendedItem> recommend(long userID, int howMany, IDRescorer rescorer, boolean includeKnownItems) throws TasteException { Preconditions.checkArgument(howMany >= 1, "howMany must be at least 1"); log.debug("Recommending items for user ID '{}'", userID); PreferenceArray preferencesFromUser = getDataModel().getPreferencesFromUser(userID); if (preferencesFromUser.length() == 0) { return Collections.emptyList(); } FastIDSet possibleItemIDs = getAllOtherItems(userID, preferencesFromUser, includeKnownItems); TopItems.Estimator<Long> estimator = new Estimator(userID, preferencesFromUser); List<RecommendedItem> topItems = TopItems.getTopItems(howMany, possibleItemIDs.iterator(), rescorer, estimator); log.debug("Recommendations are: {}", topItems); return topItems; } GenericItemBasedRecommender(DataModel dataModel,
                                     ItemSimilarity similarity,
                                     CandidateItemsStrategy candidateItemsStrategy,
                                     MostSimilarItemsCandidateItemsStrategy mostSimilarItemsCandidateItemsStrategy);  GenericItemBasedRecommender(DataModel dataModel, ItemSimilarity similarity); }
GenericItemBasedRecommender extends AbstractRecommender implements ItemBasedRecommender { @Override public List<RecommendedItem> recommend(long userID, int howMany, IDRescorer rescorer, boolean includeKnownItems) throws TasteException { Preconditions.checkArgument(howMany >= 1, "howMany must be at least 1"); log.debug("Recommending items for user ID '{}'", userID); PreferenceArray preferencesFromUser = getDataModel().getPreferencesFromUser(userID); if (preferencesFromUser.length() == 0) { return Collections.emptyList(); } FastIDSet possibleItemIDs = getAllOtherItems(userID, preferencesFromUser, includeKnownItems); TopItems.Estimator<Long> estimator = new Estimator(userID, preferencesFromUser); List<RecommendedItem> topItems = TopItems.getTopItems(howMany, possibleItemIDs.iterator(), rescorer, estimator); log.debug("Recommendations are: {}", topItems); return topItems; } GenericItemBasedRecommender(DataModel dataModel,
                                     ItemSimilarity similarity,
                                     CandidateItemsStrategy candidateItemsStrategy,
                                     MostSimilarItemsCandidateItemsStrategy mostSimilarItemsCandidateItemsStrategy);  GenericItemBasedRecommender(DataModel dataModel, ItemSimilarity similarity); ItemSimilarity getSimilarity(); @Override List<RecommendedItem> recommend(long userID, int howMany, IDRescorer rescorer, boolean includeKnownItems); @Override float estimatePreference(long userID, long itemID); @Override List<RecommendedItem> mostSimilarItems(long itemID, int howMany); @Override List<RecommendedItem> mostSimilarItems(long itemID, int howMany,
                                                Rescorer<LongPair> rescorer); @Override List<RecommendedItem> mostSimilarItems(long[] itemIDs, int howMany); @Override List<RecommendedItem> mostSimilarItems(long[] itemIDs, int howMany,
                                                Rescorer<LongPair> rescorer); @Override List<RecommendedItem> mostSimilarItems(long[] itemIDs,
                                                int howMany,
                                                boolean excludeItemIfNotSimilarToAll); @Override List<RecommendedItem> mostSimilarItems(long[] itemIDs, int howMany,
                                                Rescorer<LongPair> rescorer,
                                                boolean excludeItemIfNotSimilarToAll); @Override List<RecommendedItem> recommendedBecause(long userID, long itemID, int howMany); @Override void refresh(Collection<Refreshable> alreadyRefreshed); @Override String toString(); }
GenericItemBasedRecommender extends AbstractRecommender implements ItemBasedRecommender { @Override public List<RecommendedItem> recommend(long userID, int howMany, IDRescorer rescorer, boolean includeKnownItems) throws TasteException { Preconditions.checkArgument(howMany >= 1, "howMany must be at least 1"); log.debug("Recommending items for user ID '{}'", userID); PreferenceArray preferencesFromUser = getDataModel().getPreferencesFromUser(userID); if (preferencesFromUser.length() == 0) { return Collections.emptyList(); } FastIDSet possibleItemIDs = getAllOtherItems(userID, preferencesFromUser, includeKnownItems); TopItems.Estimator<Long> estimator = new Estimator(userID, preferencesFromUser); List<RecommendedItem> topItems = TopItems.getTopItems(howMany, possibleItemIDs.iterator(), rescorer, estimator); log.debug("Recommendations are: {}", topItems); return topItems; } GenericItemBasedRecommender(DataModel dataModel,
                                     ItemSimilarity similarity,
                                     CandidateItemsStrategy candidateItemsStrategy,
                                     MostSimilarItemsCandidateItemsStrategy mostSimilarItemsCandidateItemsStrategy);  GenericItemBasedRecommender(DataModel dataModel, ItemSimilarity similarity); ItemSimilarity getSimilarity(); @Override List<RecommendedItem> recommend(long userID, int howMany, IDRescorer rescorer, boolean includeKnownItems); @Override float estimatePreference(long userID, long itemID); @Override List<RecommendedItem> mostSimilarItems(long itemID, int howMany); @Override List<RecommendedItem> mostSimilarItems(long itemID, int howMany,
                                                Rescorer<LongPair> rescorer); @Override List<RecommendedItem> mostSimilarItems(long[] itemIDs, int howMany); @Override List<RecommendedItem> mostSimilarItems(long[] itemIDs, int howMany,
                                                Rescorer<LongPair> rescorer); @Override List<RecommendedItem> mostSimilarItems(long[] itemIDs,
                                                int howMany,
                                                boolean excludeItemIfNotSimilarToAll); @Override List<RecommendedItem> mostSimilarItems(long[] itemIDs, int howMany,
                                                Rescorer<LongPair> rescorer,
                                                boolean excludeItemIfNotSimilarToAll); @Override List<RecommendedItem> recommendedBecause(long userID, long itemID, int howMany); @Override void refresh(Collection<Refreshable> alreadyRefreshed); @Override String toString();  }