Turns recommendations matrix into a normalised data table with mean similarity score for each recommended product
1 | combineSimilarity(sim.matrix, skus, exclude.same)
|
sim.matrix |
similarity matrix based on implicit interractions |
skus |
identifiers of the implicit interraction products (source should match names in sim.matrix) |
exclude.same |
excludes values in 'skus' from recommendations |
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