Release notes for LensKit 0.6
The Git changelog and the list of closed tickets and pull requests provide more information on what has happened, including bugs that have been fixed.
-
Fixed a bug where FunkSVD crashed when predicting for a user not in the model.
-
Added history summarizers to compute vector summaries of user histories. This paves the way for non-rating-based scorers.
-
Updated to
gl-common
0.4, including the new citation JavaDoc taglet. More citations in the JavaDoc to come. -
Added version of
MutableSparseVector.freeze()
that strips NaN values in the frozen vector. -
Fixed a couple bugs in the user-user rating predictor with how baselines were added and what happens when the total similarity for an item is 0.
-
Build our first basket recommender (see #issue(3)). It isn’t tested in basket configuration yet, but item-item CF is now sufficiently modular to operate in unary contexts.
-
Added
NeighborhoodScorer
abstract scoring items based on neighborhoods.WeightedAverageNeighborhoodScorer
implements the traditional weighted average algorithm that has been in item-item CF since we implemented it, andSimilaritySumNeighborhoodScorer
just sums similarities (useful for unary contexts). -
Split
ItemItemRatingPredictor
apart intoItemItemScorer
, which uses arbitrary histories andNeighborhoodScorer
s to score items, andItemItemRatingPredictor
which configures it to be a rating predictor.
-