I wrote a thing about collaborative filtering for likes and dislikes! http://davidcelis.com/blog/2012/02/07/collaborative-filtering-with-likes-and-dislikes/
Collaborative Filtering with Likes and Dislikes
We’ve talked about some of the pitfalls of the five-star rating system and how a binary system based on likes and dislikes can be much better, but what does using this kind of rating system look like in practice? How can we take a user’s likes and dislikes and use them to generate helpful recommendations? The answer, as with the five-star system, is through collaborative filtering, but we can rely on a methodology better suited to a binary system!
I checked in at Addy's Sandwich Bar / Portland / OR
I checked in at Super Swarm Sunday / Everywhere / IN
Why I hate the five-star rating scale: http://davidcelis.com/blog/2012/02/01/why-i-hate-five-star-ratings/
Why I Hate Five-Star Ratings
When I was originally developing goodbre.ws (and, later, recommendable), the very first thing I had to decide was how users would rate items. Would I give them a standard five star system? Maybe something with more granularity, like allowing for half stars? Or perhaps the humble thumbs up or down? Truth be told, going with a binary thumbs up or down system of likes and dislikes was an easy choice. After all, I hate the five-star rating system.