I haven't gotten far into using it yet myself, but gave you looked at Likewise? It's an app designed to act as a whole "if you like W then try XYZ!" thing. It has sections for movies and tv as well as books. Have a look - hopefully that's useful to you! Source: over 1 year ago

So I’ve been using this App called LIKEWISE. It’s been great so far because like Reddit it’s a community of users where you can ask users for movie and TV show recommendations and it displays what streaming apps are available for you to watch it from. I’ve discovered a lot of great movies and shows through this app however I haven’t been able to find a music recommendation app equivalent to this and I was... Source: about 2 years ago

Try taste.io, you cannot find users, but it will suggest you movies that people with similar tastes liked. Source: almost 2 years ago

On a social website (taste.io) I read a comment complaining about ‘bi- and homophobia sprinkled throughout [Elementary]’. The site doesn’t allow to react to comments so I couldn’t ask the person, but their comment got me thinking and I would like to hear people’s opinion: Do you think the show has some problematic moments in regards to lgbt+ representation and if yes, can you provide concrete examples? Source: over 2 years ago

It's John from taste.io, I think it depends on the method you want to use and where you're able to retrieve data to train the model. With a short amount of time and limited resources, you won't have the luxury of creating a collaborative filtering model....content-filtering is possible if you can also be resourceful with APIs + build crawlers. But, the results might be mediocre...meaning, the recommendations... Source: almost 3 years ago

I have been asked to build a recommender system for TV shows at large scale, meaning thousands of users across the entire libraries of services like Netflix, Hulu and Amazon Prime. Something like taste.io but completely focussed on TV shows and not movies. My main concern is the complexity of this project, I have read up on recommender systems, and they seem fairly straightforward, its the scale that scares me. Source: almost 3 years ago