So, compared to original paper [1], similarity is now hardcoded and always LLR? Do we have any plans to parameterize that further? Is there any reason to parameterize it?
Also, reading the paper, i am a bit wondering -- similarity and distance are functions that usually are moving into different directions (i.e. cosine similarity and angular distance) but in the paper distance scores are also considered similarities? How's that? I suppose in that context LLR is considered a distance (higher scores mean more `distant` items, co-occurring by chance only)? [1] http://ssc.io/wp-content/uploads/2012/06/rec11-schelter.pdf -d
