public SlopeOneRecommender(
DataModel dataModel,
Weighting weighting,
Weighting stdDevWeighting, DiffStorage diffStorage)
: base(dataModel)
{
//if (stdDevWeighting != Weighting.WEIGHTED)
//Preconditions.checkArgument(stdDevWeighting != Weighting.WEIGHTED || weighting != Weighting.UNWEIGHTED,
// "weighted required when stdDevWeighted is set");
//Preconditions.checkArgument(diffStorage != null, "diffStorage is null");
this.weighted = weighting == Weighting.WEIGHTED;
this.stdDevWeighted = stdDevWeighting == Weighting.WEIGHTED;
this.diffStorage = diffStorage;
}
/// <summary>
/// <p>Creates a <see cref="taste.Recommender.SlopeOne.SlopeOneRecommender">SlopeOneRecommender</see> based on the given
/// <see cref="taste.Model.DataModel">DataModel</see>.</p>
/// <p>If <code>weighted</code> is set, acts as a weighted slope one Recommender.
/// This implementation also includes an experimental "standard deviation" weighting which weights
/// item-item ratings diffs with lower standard deviation more highly, on the theory that they are more
/// reliable.</p>
/// </summary>
/// <param name="dataModel"></param>
/// <param name="weighted">if <code>true</code>, acts as a weighted slope one Recommender</param>
/// <param name="stdDevWeighted">use optional standard deviation weighting of diffs</param>
/// <param name="diffStorage"></param>
/// <remarks>
/// Throws ArgumentException if <code>diffStorage</code> is null, or stdDevWeighted is set
/// when weighted is not set
/// </remarks>
public SlopeOneRecommender(DataModel dataModel,
bool weighted,
bool stdDevWeighted,
DiffStorage diffStorage)
: base(dataModel)
{
if (stdDevWeighted && !weighted)
{
throw new ArgumentException("weighted required when stdDevWeighted is set");
}
if (diffStorage == null)
{
throw new ArgumentNullException("diffStorage is null");
}
this.weighted = weighted;
this.stdDevWeighted = stdDevWeighted;
this.diffStorage = diffStorage;
}
