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Games Finder might be a bit more popular than Taste. We know about 5 links to it since March 2021 and only 4 links to 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.
You could try using https://gameslikefinder.com/ or https://apps.quanticfoundry.com/recommendations/gamerprofile/videogame/ to see what the AI recommends. I find that they are usually pretty close to my preferences. Source: over 1 year ago
Gameslikefinder.com has pretty good guides for each classes. Source: over 1 year ago
50GamesLike and GamesLikeFinder were among the top results. Neither of them were great but GamesLikeFinder seemed to give a bit more relevant results. I also found Steampeek if you're searching for indie games specifically. Source: about 2 years ago
Are you looking for a new videogame to play, but you prefer something similar to other videogames you already enjoy and own? https://gameslikefinder.com/ is your website. Source: over 2 years ago
Cant test how good it works, cause work has it blocked but, https://gameslikefinder.com/. Source: almost 3 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: about 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
TasteDive - TasteDive recommends similar music (musicians, bands), movies, TV shows, books, authors and games, based on what you like.
Letterboxd - Letterboxd is a social site for sharing your taste in film, now in public beta.
MovieLens - MovieLens helps you find non-commercial, personalized movie recommendations.
IMDb - Internet Movie Database
ratehouse - The comprehensive media database for music, movies, tv shows, books, games, and podcasts.
And Chill - andchill is a new way of enjoying movies and videos with your friends.