I’ve been meaning to turn it into an app to streamline gameplay (we just manage it with spreadsheets), but I’m really dragging my feet on it.
Quite a few years ago, I wrote a boardgame recommendation engine for reddit (/r/boardgamerecommender), and when the quarantine hit, I was watching movies and really scraping the bottom of the barrel with the recommendations I was getting (both automated and manual), so I made couchmoney.
I haven't done much with it - have a few hundred users, but I'm planning on keeping it going under the radar because it's transformed how I personally watch movies. I now have close to 200 couchmoney dynamic lists ("1980s Action", "Obscure Horror Comedies" etc) that update every time I watch a movie and are based on real people's tastes.
The engine isn't perfect but it's adapted from the board game thing, which I've been tinkering with for a long time now.
More than happy to help you if you hit issues or want to bounce ideas ... I spend a lot of time thinking about recommendations!
The recommender morphed into my latest quarantine side project, which is a "name that movie" game designed to be played over zoom. It's still super early (and basically only works on Chrome right now) but if you like movies, you may like that. It's at https://couchmoneytrivia.tv
I am a big time movie buff and curious about how you tackle the recommender system problem. Especially about defining domain specific groupa. Is it hosted somewhere on the GitHub?
regards, Choesang
Actually, I didn't become a movie buff with tools like this but with watching the movies liked by the directors of my favorite films. For instance: Pulp Fiction -> Quentin Tarantino -> Bande à part -> Jean-Luc Godard -> Robert Bresson -> ...
In addition to giving you some ideas about films that you could like, this helps you to better see the big picture (no pun intended). You learn about the important movie periods and movements (French New Wave, Italian neorealism, New Hollywood...), you develop a more serious approach to film, and you can live these mind-blowing moments when you notice similarities between two movies done 50 years apart and that looked at first glance totally different.
I already created the engine (which is giving good results for my profile! It recommends me movies that I never thought of). The challenge was mostly to found all the data required by the engine. Now, I must admit I'm procrastinating a little bit for developing the actual web app!
(and thank you everyone for your messages, your projects are awesome!)