public ItemSimilarityCalculator(IBehaviorStore behaviorStore, IItemPopularityProvider popularityProvider)
{
_behaviorStore = behaviorStore;
_popularityProvider = popularityProvider;
TimeAttenuationAlpha = .0002f;
PopularItemPunishAlpha = .6f;
}
public ItemSimilarityCalculator(IBehaviorStore behaviorStore, IItemPopularityProvider popularityProvider)
{
_behaviorStore = behaviorStore;
_popularityProvider = popularityProvider;
TimeAttenuationAlpha = .0002f;
PopularItemPunishAlpha = .6f;
}
public static void Register(string instance, string behaviorType, IBehaviorStore store)
{
if (!_storesByInstances.ContainsKey(instance))
{
_storesByInstances.Add(instance, new Dictionary<string, IBehaviorStore>());
}
var storesByBehavior = _storesByInstances[instance];
if (storesByBehavior.ContainsKey(behaviorType))
{
storesByBehavior[behaviorType] = store;
}
else
{
storesByBehavior.Add(behaviorType, store);
}
}
public static void Register(string instance, string behaviorType, IBehaviorStore store)
{
if (!_storesByInstances.ContainsKey(instance))
{
_storesByInstances.Add(instance, new Dictionary <string, IBehaviorStore>());
}
var storesByBehavior = _storesByInstances[instance];
if (storesByBehavior.ContainsKey(behaviorType))
{
storesByBehavior[behaviorType] = store;
}
else
{
storesByBehavior.Add(behaviorType, store);
}
}
private void Recompute(ISimilarityMatrix matrix, IBehaviorStore behaviorStore)
{
var allItems = behaviorStore.GetAllItems().ToList();
if (allItems.Count == 0)
{
return;
}
var calculator = new ItemSimilarityCalculator(behaviorStore, NullItemPopularityProvider.Instance);
var batch = new Dictionary <ItemPair, double>();
for (var i = 0; i < allItems.Count; i++)
{
for (var j = i + 1; j < allItems.Count; j++)
{
var item1 = allItems[i];
var item2 = allItems[j];
var similarity = calculator.CalculateSimilarity(item1, item2);
if (similarity > 0)
{
batch.Add(new ItemPair(item1, item2), similarity);
if (batch.Count == _updateBatchSize)
{
matrix.AddSimilarities(batch);
batch.Clear();
}
}
}
}
if (batch.Count > 0)
{
matrix.AddSimilarities(batch);
}
}
private void Recompute(ISimilarityMatrix matrix, IBehaviorStore behaviorStore)
{
var allItems = behaviorStore.GetAllItems().ToList();
if (allItems.Count == 0)
{
return;
}
var calculator = new ItemSimilarityCalculator(behaviorStore, NullItemPopularityProvider.Instance);
var batch = new Dictionary<ItemPair, double>();
for (var i = 0; i < allItems.Count; i++)
{
for (var j = i + 1; j < allItems.Count; j++)
{
var item1 = allItems[i];
var item2 = allItems[j];
var similarity = calculator.CalculateSimilarity(item1, item2);
if (similarity > 0)
{
batch.Add(new ItemPair(item1, item2), similarity);
if (batch.Count == _updateBatchSize)
{
matrix.AddSimilarities(batch);
batch.Clear();
}
}
}
}
if (batch.Count > 0)
{
matrix.AddSimilarities(batch);
}
}
public BehaviorConfigurator(IBehaviorStore behaviorStore)
{
_behaviorStore = behaviorStore;
}
public BehaviorConfigurator(IBehaviorStore behaviorStore)
{
_behaviorStore = behaviorStore;
}
