#parse("relnotes.vm")
#stdHeader("0.6", 11)

  * 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, and
      <<<SimilaritySumNeighborhoodScorer>>> just sums similarities
      (useful for unary contexts).

    * Split <<<ItemItemRatingPredictor>>> apart into
      <<<ItemItemScorer>>>, which uses arbitrary histories and
      <<<NeighborhoodScorer>>>s to score items, and
      <<<ItemItemRatingPredictor>>> which configures it to be a rating
      predictor.

    []

  []
