Added the shopr-explanations java project.
Added some basic parts of the explanation model.
Added the test suit for Score.
Added Score(that computes local, global and explanation scores).
Added Recommendation model that encapsulates an item and an explanation.
Made the possible for Attributes class to return the collection of its attribute values.
Added the ContentSelector that will generate the first abstract version of an explanation.
Added the Discloser that explains set of recommended items and gives back recommendations.
Refactored ContentSelector select algorithm.
Made sure Arguments are compared against their Dimensions. And Dimensions are compared against their information score.
Added Argument and Dimension suits.
Renamed Score as ScoreComputer.
Changed the ui package structure to create two ui variants(basic & explained)
Added ShoprExplanation as dependency to Android app.
Further seperation of UI elements for two variants. Added explanation text to the explained item template.
Expanded Attribute interface.
Added simple explanation generation in client side.
Fixed a bug in frequency computation.
Fixed a bug in descending sorting of initial arguments. Added initial values for coefficients.
Added Argument.Type.