@Test
public void testTwoLikes() {
SparseVector vec = sum.summarize(History.forUser(42, Like.create(42, 39), Like.create(42, 67)));
assertThat(vec.size(), equalTo(2));
assertThat(vec.get(39), equalTo(1.0));
assertThat(vec.get(67), equalTo(1.0));
}
@Test
public void testLikeBatch() {
SparseVector vec =
sum.summarize(
History.forUser(
42, Like.create(42, 39), LikeBatch.create(42, 67, 402), Like.create(42, 39)));
assertThat(vec.size(), equalTo(2));
assertThat(vec.get(39), equalTo(2.0));
assertThat(vec.get(67), equalTo(402.0));
}
/**
* Check that we score items but do not provide scores for items the user has previously rated.
* User 5 has rated only item 8 previously.
*/
@Test
public void testItemScorerNoRating() {
long[] items = {7, 8};
ItemItemScorer scorer = session.get(ItemItemScorer.class);
assertThat(scorer, notNullValue());
SparseVector scores = scorer.score(5, LongArrayList.wrap(items));
assertThat(scores, notNullValue());
assertThat(scores.size(), equalTo(1));
assertThat(scores.get(7), not(notANumber()));
assertThat(scores.containsKey(8), equalTo(false));
}
/**
* Check that we score items but do not provide scores for items the user has previously rated.
* User 5 has rated only item 8 previously.
*/
@Test
public void testItemScorerChannels() {
long[] items = {7, 8};
ItemItemScorer scorer = session.get(ItemItemScorer.class);
assertThat(scorer, notNullValue());
SparseVector scores = scorer.score(5, LongArrayList.wrap(items));
assertThat(scores, notNullValue());
assertThat(scores.size(), equalTo(1));
assertThat(scores.get(7), not(notANumber()));
assertThat(
scores.getChannelVector(ItemItemScorer.NEIGHBORHOOD_SIZE_SYMBOL).get(7),
closeTo(1.0, 1.0e-5));
assertThat(scores.containsKey(8), equalTo(false));
long[] items2 = {7, 8, 9};
scorer = session.get(ItemItemScorer.class);
assertThat(scorer, notNullValue());
scores = scorer.score(2, LongArrayList.wrap(items2));
assertThat(
scores.getChannelVector(ItemItemScorer.NEIGHBORHOOD_SIZE_SYMBOL).get(9),
closeTo(3.0, 1.0e-5)); // 1, 7, 8
}
@Override
public boolean equals(Object o) {
if (this == o) {
return true;
} else if (o instanceof SparseVector) {
SparseVector vo = (SparseVector) o;
int sz = size();
int osz = vo.size();
if (sz != osz) {
return false;
} else {
if (!this.keySet().equals(vo.keySet())) {
return false; // same keys
}
// we know that sparse vector values are always in key order. so just compare them.
return this.values().equals(vo.values());
}
} else {
return false;
}
}
@Override
public int size() {
return vector.size();
}
@Test
public void testSummarizeNoLike() {
SparseVector vec = sum.summarize(History.forUser(42, Rating.create(42, 39, 2.5)));
assertThat(vec.size(), equalTo(0));
}
@Test
public void testSummarizeEmpty() {
SparseVector vec = sum.summarize(History.forUser(42));
assertThat(vec.size(), equalTo(0));
}
