The syntax of the item set that represents historical preferences is as follows:
Item1:Weight1;Item2:Weight2; … ; ItemN:WeightN
There may be other input features present in the data set as well. Those will be treated the same as if they were in any other model (Nominal, Real, etc. can be assigned to these additional columns).
simRecommend returns results in the format of Item (Weight). The higher the weight value, the stronger the recommendation. Only items available in the training data set can be recommended.