Thank you for the link, I intend on studying it carefully this weekend. I may want to implement something similar using board game data from boardgamegeek.com (I've already been working on a recommendation system). BGG has a 1-10 point rating scale (using floating point numbers), so I suspect the method described will fit.
My only concern is the number of mutually rated titles between users in board gaming is probably lower than movies. Which I suspect will reduce confidence rates.
The current approach (with a Jaccard system), requires a degree of human intervention and only works on some users. It meets the goal of recommending titles for me, but it'd be nice to expose the system externally.
My only concern is the number of mutually rated titles between users in board gaming is probably lower than movies. Which I suspect will reduce confidence rates.
The current approach (with a Jaccard system), requires a degree of human intervention and only works on some users. It meets the goal of recommending titles for me, but it'd be nice to expose the system externally.