Created
November 24, 2013 12:33
-
-
Save noff/7626790 to your computer and use it in GitHub Desktop.
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
@Override | |
public SimpleItemItemModel get() { | |
// Get the transposed rating matrix | |
// This gives us a map of item IDs to those items' rating vectors | |
Map<Long, ImmutableSparseVector> itemVectors = getItemVectors(); | |
// Get all items - you might find this useful | |
LongSortedSet items = LongUtils.packedSet(itemVectors.keySet()); | |
// Map items to vectors of item similarities | |
// Map<Long,MutableSparseVector> itemSimilarities = new HashMap<Long, MutableSparseVector>(); | |
Map<Long,List<ScoredId>> neighbours = new HashMap<Long, List<ScoredId>>(); | |
// TODO FIXED Compute the similarities between each pair of items | |
CosineVectorSimilarity similarityObject = new CosineVectorSimilarity(); | |
for(long itemId: items) { | |
TopNScoredItemAccumulator accumulator = new TopNScoredItemAccumulator(items.size() - 1); | |
for(long otherItemId: items) { | |
if(itemId != otherItemId) { | |
double sim = similarityObject.similarity(itemVectors.get(itemId), itemVectors.get(otherItemId)); | |
if(sim >= 0) { | |
accumulator.put(otherItemId, sim); | |
} | |
} | |
} | |
List<ScoredId> similarities = accumulator.finish(); | |
neighbours.put(itemId, similarities); | |
} | |
// It will need to be in a map of longs to lists of Scored IDs to store in the model | |
// return new SimpleItemItemModel(Collections.EMPTY_MAP); | |
return new SimpleItemItemModel(neighbours); | |
} |
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment