本文整理了Java中org.lenskit.data.dao.Query.valueSet方法的一些代码示例，展示了Query.valueSet的具体用法。这些代码示例主要来源于Github/Stackoverflow/Maven等平台，是从一些精选项目中提取出来的代码，具有较强的参考意义，能在一定程度帮忙到你。Query.valueSet方法的具体详情如下：
包路径：org.lenskit.data.dao.Query
类名称：Query
方法名：valueSet

Query.valueSet介绍

[英]Get the set of values from an attribute in the entities in this query. Use this to do things like get the set of items referenced in a user's ratings: dao.query(Rating.class) .withAttribute(CommonAttributes.USER_ID, user) .valueSet(CommonAttributes.ITEM_ID);
[中]

代码示例

代码示例来源：origin: lenskit/lenskit

/**
 * Get the default exclude set for a user.  The base implementation gets
 * all the items they have interacted with.
 *
 * @param user The user ID.
 * @return The set of items to exclude.
 */
protected LongSet getDefaultExcludes(long user) {
  // FIXME Support things other than ratings
  return dao.query(CommonTypes.RATING)
       .withAttribute(CommonAttributes.USER_ID, user)
       .valueSet(CommonAttributes.ITEM_ID);
}

代码示例来源：origin: lenskit/lenskit

@Override
protected LongList recommend(long user, int n, @Nullable LongSet candidates, @Nullable LongSet exclude) {
  if (exclude == null) {
    exclude = data.query(statistics.getEntityType())
           .withAttribute(CommonAttributes.USER_ID, user)
           .valueSet(CommonAttributes.ITEM_ID);
  }
  return recommendWithSets(n, candidates, exclude);
}

代码示例来源：origin: lenskit/lenskit

.valueSet(CommonAttributes.ITEM_ID));

代码示例来源：origin: lenskit/lenskit

/**
 * Get the IDs of the candidate neighbors for a user.
 * @param user The user.
 * @param userItems The user's rated items.
 * @param targetItems The set of target items.
 * @return The set of IDs of candidate neighbors.
 */
private LongSet findCandidateNeighbors(long user, LongSet userItems, LongCollection targetItems) {
  LongSet users = new LongOpenHashSet(100);
  LongIterator items;
  if (userItems.size() < targetItems.size()) {
    items = userItems.iterator();
  } else {
    items = targetItems.iterator();
  }
  while (items.hasNext()) {
    LongSet iusers = dao.query(CommonTypes.RATING)
        .withAttribute(CommonAttributes.ITEM_ID, items.nextLong())
        .valueSet(CommonAttributes.USER_ID);
    if (iusers != null) {
      users.addAll(iusers);
    }
  }
  users.remove(user);
  return users;
}

代码示例来源：origin: org.lenskit/lenskit-core

/**
 * Get the default exclude set for a user.  The base implementation gets
 * all the items they have interacted with.
 *
 * @param user The user ID.
 * @return The set of items to exclude.
 */
protected LongSet getDefaultExcludes(long user) {
  // FIXME Support things other than ratings
  return dao.query(CommonTypes.RATING)
       .withAttribute(CommonAttributes.USER_ID, user)
       .valueSet(CommonAttributes.ITEM_ID);
}

代码示例来源：origin: org.lenskit/lenskit-core

@Override
protected LongList recommend(long user, int n, @Nullable LongSet candidates, @Nullable LongSet exclude) {
  if (exclude == null) {
    exclude = data.query(statistics.getEntityType())
           .withAttribute(CommonAttributes.USER_ID, user)
           .valueSet(CommonAttributes.ITEM_ID);
  }
  return recommendWithSets(n, candidates, exclude);
}

代码示例来源：origin: org.lenskit/lenskit-knn

/**
 * Get the IDs of the candidate neighbors for a user.
 * @param user The user.
 * @param userItems The user's rated items.
 * @param targetItems The set of target items.
 * @return The set of IDs of candidate neighbors.
 */
private LongSet findCandidateNeighbors(long user, LongSet userItems, LongCollection targetItems) {
  LongSet users = new LongOpenHashSet(100);
  LongIterator items;
  if (userItems.size() < targetItems.size()) {
    items = userItems.iterator();
  } else {
    items = targetItems.iterator();
  }
  while (items.hasNext()) {
    LongSet iusers = dao.query(CommonTypes.RATING)
        .withAttribute(CommonAttributes.ITEM_ID, items.nextLong())
        .valueSet(CommonAttributes.USER_ID);
    if (iusers != null) {
      users.addAll(iusers);
    }
  }
  users.remove(user);
  return users;
}