[rahimnathwani]

From the Spotify blog post: "We train a model on subsampled (5%) playlist data using skip-grams and 40 factors."

Any idea what those 40 factors might be?

(The item2vec paper describes using pairs of items that occur in the same set, i.e. just like using n-grams, but without a fixed n, and ignoring ordering.)

[rm999]

That's the dimensionality of the resulting word vectors in word2vec; in the item2vec paper this is the "dimension parameter m".