Package net.myrrix.online

Examples of net.myrrix.online.RescorerProvider

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  public Object call() throws IOException, InterruptedException, NotReadyException, ExecutionException {

    final ServerRecommender recommender = new ServerRecommender(config.getLocalInputDir());
    recommender.await();

    final RescorerProvider rescorerProvider = config.getRescorerProvider();
    final int howMany = config.getHowMany();

    File outFile = config.getOutFile();
    outFile.delete();
    final Writer out = new OutputStreamWriter(new FileOutputStream(outFile), Charsets.UTF_8);
   
    Processor<Long> processor = new Processor<Long>() {
      @Override
      public void process(Long itemID, long count) throws ExecutionException {
        Rescorer<LongPair> rescorer =
            rescorerProvider == null ? null : rescorerProvider.getMostSimilarItemsRescorer(recommender);
        Iterable<RecommendedItem> similar;
        try {
          similar = recommender.mostSimilarItems(new long[]{itemID}, howMany, rescorer);
        } catch (TasteException te) {
          throw new ExecutionException(te);
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      System.out.println();
      return null;
    }

    String rescorerProviderClassNames = allArgs.getRescorerProviderClass();
    RescorerProvider rescorerProvider;
    if (rescorerProviderClassNames == null) {
      rescorerProvider = null;
    } else {
      rescorerProvider = AbstractRescorerProvider.loadRescorerProviders(rescorerProviderClassNames, null);
    }
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    context.setAttribute(AbstractMyrrixServlet.PARTITION_KEY, partition);
    return partition;
  }
 
  private static void configureRescorerProvider(ServletContext context, String bucket, String instanceID) {
    RescorerProvider rescorerProvider;
    try {
      rescorerProvider = loadRescorerProvider(context, bucket, instanceID);
    } catch (IOException ioe) {
      throw new IllegalStateException(ioe);
    } catch (ClassNotFoundException cnfe) {
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      throw new ClassNotFoundException(rescorerProviderClassNames);
    }

    log.info("Loading class(es) {} from {}, copied from remote JAR at key {}",
             rescorerProviderClassNames, tempResourceFile, tempResourceFile);
    RescorerProvider rescorerProvider =
        AbstractRescorerProvider.loadRescorerProviders(rescorerProviderClassNames,
                                                       tempResourceFile.toURI().toURL());

    if (!tempResourceFile.delete()) {
      log.info("Could not delete {}", tempResourceFile);
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  public Object call() throws IOException, InterruptedException, NotReadyException, ExecutionException {

    final ServerRecommender recommender = new ServerRecommender(config.getLocalInputDir());
    recommender.await();

    final RescorerProvider rescorerProvider = config.getRescorerProvider();
    final int howMany = config.getHowMany();
   
    File outFile = config.getOutFile();
    outFile.delete();
    final Writer out = new OutputStreamWriter(new FileOutputStream(outFile), Charsets.UTF_8);
   
    Processor<Long> processor = new Processor<Long>() {
      @Override
      public void process(Long userID, long count) throws ExecutionException {
        IDRescorer rescorer =
            rescorerProvider == null ? null : rescorerProvider.getRecommendRescorer(new long[]{userID}, recommender);
        Iterable<RecommendedItem> recs;
        try {
          recs = recommender.recommend(userID, howMany, rescorer);
        } catch (TasteException te) {
          throw new ExecutionException(te);
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      response.sendError(HttpServletResponse.SC_BAD_REQUEST, "Path too long");
      return;
    }

    MyrrixRecommender recommender = getRecommender();
    RescorerProvider rescorerProvider = getRescorerProvider();
    try {
      IDRescorer rescorer = rescorerProvider == null ? null :
          rescorerProvider.getRecommendRescorer(new long[] {userID}, recommender, getRescorerParams(request));
      Iterable<RecommendedItem> recommended =
          recommender.recommend(userID, getHowMany(request), getConsiderKnownItems(request), rescorer);
      output(request, response, recommended);
    } catch (NoSuchUserException nsue) {
      response.sendError(HttpServletResponse.SC_NOT_FOUND, nsue.toString());
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public final class MostPopularItemsServlet extends AbstractMyrrixServlet {

  @Override
  protected void doGet(HttpServletRequest request, HttpServletResponse response) throws IOException {
    MyrrixRecommender recommender = getRecommender();
    RescorerProvider rescorerProvider = getRescorerProvider();
    try {
      IDRescorer rescorer = rescorerProvider == null ? null :
          rescorerProvider.getMostPopularItemsRescorer(recommender, getRescorerParams(request));
      output(request, response, recommender.mostPopularItems(getHowMany(request), rescorer));
    } catch (NotReadyException nre) {
      response.sendError(HttpServletResponse.SC_SERVICE_UNAVAILABLE, nre.toString());
    } catch (TasteException te) {
      response.sendError(HttpServletResponse.SC_INTERNAL_SERVER_ERROR, te.toString());
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    }

    long[] userIDs = userIDSet.toArray();

    MyrrixRecommender recommender = getRecommender();
    RescorerProvider rescorerProvider = getRescorerProvider();
    try {
      IDRescorer rescorer = rescorerProvider == null ? null :
          rescorerProvider.getRecommendRescorer(userIDs, recommender, getRescorerParams(request));
      Iterable<RecommendedItem> recommended =
          recommender.recommendToMany(userIDs, getHowMany(request), getConsiderKnownItems(request), rescorer);
      output(request, response, recommended);
    } catch (NoSuchUserException nsue) {
      response.sendError(HttpServletResponse.SC_NOT_FOUND, nsue.toString());
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      response.sendError(HttpServletResponse.SC_BAD_REQUEST, "No items");
      return;
    }

    MyrrixRecommender recommender = getRecommender();
    RescorerProvider rescorerProvider = getRescorerProvider();
    try {
      int howMany = getHowMany(request);
      Iterable<RecommendedItem> similar;
      if (rescorerProvider == null) {
        similar = recommender.mostSimilarItems(itemIDSet.toArray(), howMany);
      } else {
        Rescorer<LongPair> rescorer =
            rescorerProvider.getMostSimilarItemsRescorer(recommender, getRescorerParams(request));
        similar = recommender.mostSimilarItems(itemIDSet.toArray(),
                                               howMany,
                                               rescorer);
      }
      output(request, response, similar);
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    long[] itemIDs = itemIDsAndValue.getFirst();
    float[] values = itemIDsAndValue.getSecond();
   
    MyrrixRecommender recommender = getRecommender();
    RescorerProvider rescorerProvider = getRescorerProvider();
    try {
      IDRescorer rescorer = rescorerProvider == null ? null :
          rescorerProvider.getRecommendToAnonymousRescorer(itemIDs, recommender, getRescorerParams(request));
      Iterable<RecommendedItem> recommended =
          recommender.recommendToAnonymous(itemIDs, values, getHowMany(request), rescorer);
      output(request, response, recommended);
    } catch (NotReadyException nre) {
      response.sendError(HttpServletResponse.SC_SERVICE_UNAVAILABLE, nre.toString());
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Related Classes of net.myrrix.online.RescorerProvider

  • net.myrrix.web.AllConfig
  • net.myrrix.web.AllItemSimilarities
  • net.myrrix.web.AllRecommendations
  • net.myrrix.web.InitListener
  • net.myrrix.web.servlets.MostPopularItemsServlet
  • net.myrrix.web.servlets.RecommendServlet
  • net.myrrix.web.servlets.RecommendToAnonymousServlet
  • net.myrrix.web.servlets.RecommendToManyServlet
  • net.myrrix.web.servlets.SimilarityServlet
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