Based on our record, Letterboxd seems to be a lot more popular than Taste. While we know about 149 links to Letterboxd, we've tracked only 4 mentions of Taste. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
5. Best Submissions can display their [Letterboxd Accts] the following week. Source: 6 months ago
Letterboxd is a site/app for logging movies that you've watched. I had always wanted a way to show my most recently-watched movies on my personal website. Source: 6 months ago
On the social media site for film geeks that is Letterboxd, a sizeable amount of the community has an official, unofficial horrorthon each year called HoopTober, helmed by the benevolent Cinemonster. Source: 9 months ago
5. Best Submissions can display their [Letterboxd Accts] the following week. Source: 10 months ago
Favoree looks interesting. Maybe the connection between Favoree and Letterboxd is more apt than Rotten Tomatoes as the latter doesn't have as much of a social lens. Source: 11 months 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: over 2 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: over 2 years ago
IMDb - Internet Movie Database
Simkl - Simkl is a TV, anime, and movie tracker that keeps a history of all the shows and movies you watch in one, central location. It’s a mobile app, a website, Google Chrome extension to keep track of everything you watch and integrates with many TV apps
MovieLens - MovieLens helps you find non-commercial, personalized movie recommendations.
Trakt.tv - Automatically track TV shows & movies you're watching.
TasteDive - TasteDive recommends similar music (musicians, bands), movies, TV shows, books, authors and games, based on what you like.
And Chill - andchill is a new way of enjoying movies and videos with your friends.